WO2023138029A1 - 一种遥感数据处理方法、装置、设备、存储介质和计算机程序产品 - Google Patents

一种遥感数据处理方法、装置、设备、存储介质和计算机程序产品 Download PDF

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WO2023138029A1
WO2023138029A1 PCT/CN2022/109695 CN2022109695W WO2023138029A1 WO 2023138029 A1 WO2023138029 A1 WO 2023138029A1 CN 2022109695 W CN2022109695 W CN 2022109695W WO 2023138029 A1 WO2023138029 A1 WO 2023138029A1
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interpretation
map
remote sensing
task
model
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PCT/CN2022/109695
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English (en)
French (fr)
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严冰
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上海商汤智能科技有限公司
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Publication of WO2023138029A1 publication Critical patent/WO2023138029A1/zh

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/51—Indexing; Data structures therefor; Storage structures
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/29—Geographical information databases
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/55—Clustering; Classification
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/56—Information retrieval; Database structures therefor; File system structures therefor of still image data having vectorial format
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/587—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using geographical or spatial information, e.g. location

Definitions

  • Embodiments of the present disclosure relate to the field of remote sensing, and in particular, to a remote sensing data processing method, device, device, storage medium, and computer program product.
  • Embodiments of the present disclosure provide a remote sensing data processing method, device, device, storage medium, and computer program product.
  • an embodiment of the present disclosure provides a method for processing remote sensing data, the method comprising: acquiring original remote sensing data; receiving an interpretation instruction for the original remote sensing data, and generating an interpretation task corresponding to the original remote sensing data; the interpretation task is used to generate an interpretation result corresponding to the original remote sensing data; and generating a corresponding remote sensing map based on the original remote sensing data and the interpretation result.
  • the acquiring the original remote sensing data includes: displaying a data management interface in response to a data management request; receiving a trigger operation for the storage control in the data management interface, and establishing a storage task; based on the storage task, acquiring the original remote sensing data.
  • the method further includes: in response to establishing the storage task, displaying a storage task management interface; the storage task management interface is used to display at least one established storage task; receiving a state switching instruction for a target established storage task in the at least one established storage task through the storage task management interface, and switching the task status of the target established storage task.
  • the data management interface includes a directory display area and a data display area; the method further includes: displaying at least one created directory through the directory display area; receiving a selection operation for a target created directory in the at least one created directory, and displaying the stored data stored in the target created directory in the data display area.
  • receiving an interpretation instruction for the original remote sensing data, and generating an interpretation task corresponding to the original remote sensing data includes: displaying an interpretation task creation interface; the interpretation task creation interface includes an interpretation model configuration area and a data configuration area; in response to the configuration operation for the interpretation model configuration area, obtaining the interpretation model corresponding to the interpretation task; in response to the configuration operation for the data configuration area, obtaining the original remote sensing data corresponding to the interpretation task; An interpretation task; the interpretation task is used to interpret the original remote sensing data based on the interpretation model and generate a corresponding interpretation result.
  • the interpretation task creation interface further includes an interpretation parameter display area
  • the method further includes: in response to acquiring the interpretation model corresponding to the interpretation task, acquiring interpretation parameters corresponding to the interpretation model; updating the display content of the interpretation parameter display area based on the interpretation parameters.
  • the method further includes: displaying an interpretation task management interface in response to generating the interpretation task corresponding to the original remote sensing data; the interpretation task management interface is used to display at least one established interpretation task; receiving an interpretation task management operation for a target established interpretation task in the at least one established interpretation task through the interpretation task management interface; and performing task management on the target established interpretation task based on the interpretation task management operation.
  • the method further includes: displaying a model management interface in response to a model management request; the model management interface includes a model import control; receiving a trigger operation for the model import control, and displaying a model import interface; the model import interface includes a model configuration area and a model upload area; in response to an upload operation directed at the model upload area, obtaining a target model, and in response to a configuration operation directed at the model configuration area, obtaining interpretation parameters corresponding to the target model; storing the target model and the corresponding interpretation parameters in a database as an established interpretation model.
  • the model management interface is further used to display at least one established interpretation model: the method further includes: receiving a model management operation for a target established model in the at least one established interpretation model through the model management interface; and managing the target established model based on the model management operation.
  • the generating a corresponding remote sensing map based on the original remote sensing data and the interpretation result includes: obtaining a data type corresponding to the original remote sensing data; generating a remote sensing map of at least one target type based on the interpretation result; the target type corresponds to the data type.
  • the method further includes: displaying a map management interface in response to a map management request; the map management interface is used to display at least one published map; receiving a map management operation for a target published map in the at least one published map through the map management interface; and managing the target published map based on the map management operation.
  • the map management operation includes a map information query operation
  • managing the target published map based on the map management operation includes: in response to the map information query operation, displaying a map information display interface corresponding to the target published map; the map information display interface includes a first display area and a second display area; displaying map information of the target published map through the first display area; the map information includes at least one of the following: address, data source, data source type, map creation time, and map thumbnail; Data information; the data information includes at least one of the following: projection information, range, attribute field information.
  • the interpretation result includes at least one interpretation area in the original remote sensing data and interpretation information corresponding to each interpretation area;
  • the map management operation includes a style configuration operation, and based on the map management operation, managing the target published map includes: in response to the style configuration operation, displaying a style configuration interface corresponding to the target published map;
  • the style configuration interface includes a display configuration area corresponding to each interpretation information; It is used to determine the display effect of the interpretation area corresponding to each interpretation information.
  • the target published map corresponds to raw remote sensing data and interpretation results of multiple time points
  • the style configuration interface includes a browsing mode configuration area
  • the method further includes: based on the browsing mode configuration area, obtaining browsing mode configuration data of the target published map; the browsing mode configuration data is used to determine the browsing mode of the remote sensing map of the multiple time points; wherein the browsing mode includes at least one of a single time point browsing mode and a multi-time point browsing mode;
  • the remote sensing map corresponding to the target time point is displayed on the map providing interface corresponding to the target published map;
  • the multi-time point browsing mode is used to simultaneously display the remote sensing map corresponding to each target time point on the map providing interface corresponding to the target published map in response to a selection operation for at least two target time points among the multiple time points.
  • the interpretation result includes interpretation sub-results of at least one interpretation type
  • the style configuration interface includes a statistical configuration area
  • the method further includes: based on the statistical configuration area, acquiring a selection operation for a target interpretation type in the at least one interpretation type; receiving a statistical configuration operation for the target interpretation type, and determining a statistical model corresponding to the target interpretation type; the statistical model is used to determine changes in the interpretation sub-results of the target interpretation type at the multiple time points.
  • the map management operation includes a map preview operation
  • the managing the target published map based on the map management operation includes: in response to the map preview operation, displaying a map preview interface corresponding to the target published map; the map preview interface is used to display the remote sensing map rendered based on the original remote sensing data and the interpretation result; receiving a browsing operation on the remote sensing map through the map preview interface, refreshing the display status of the remote sensing map.
  • a remote sensing data processing device comprising: an acquisition part configured to obtain original remote sensing data; an interpretation part configured to receive an interpretation instruction for the original remote sensing data, and generate an interpretation task corresponding to the original remote sensing data; the interpretation task is used to generate an interpretation result corresponding to the original remote sensing data; a generation part is configured to generate a corresponding remote sensing map based on the original remote sensing data and the interpretation result.
  • an electronic device including: a memory configured to store an executable computer program; a processor configured to implement the method described in any of the above embodiments when the executable computer program stored in the memory is executed.
  • a computer-readable storage medium on which a computer program is stored.
  • the computer program is executed by a processor, the method described in any one of the above-mentioned embodiments is implemented.
  • a computer program product in another aspect, includes a non-transitory computer-readable storage medium storing a computer program.
  • the computer program product includes a non-transitory computer-readable storage medium storing a computer program.
  • the obtained original remote sensing data after receiving the interpretation instruction, can be directly interpreted and the corresponding interpretation result and remote sensing map can be generated, which improves the generation efficiency of the remote sensing map, and then can improve the convenience of publishing the remote sensing service including the remote sensing map; at the same time, the embodiment of the present disclosure can also obtain the original remote sensing data that needs to be interpreted based on the user's needs and establish a corresponding interpretation task, thereby obtaining a customized remote sensing map and improving the diversity of the remote sensing map.
  • FIG. 1 is a schematic diagram of an implementation flow of a remote sensing data processing method provided by an embodiment of the present disclosure
  • FIG. 2 is a schematic diagram of the implementation flow of a remote sensing data processing method provided by an embodiment of the present disclosure
  • FIG. 3 is a schematic diagram of the implementation flow of a remote sensing data processing method provided by an embodiment of the present disclosure
  • FIG. 4 is a schematic diagram of the implementation flow of a remote sensing data processing method provided by an embodiment of the present disclosure
  • FIG. 5 is a schematic diagram of the implementation flow of a remote sensing data processing method provided by an embodiment of the present disclosure
  • FIG. 6 is an optional preprocessing task management interface provided by an embodiment of the present disclosure.
  • FIG. 7 is an optional model management interface provided by an embodiment of the present disclosure.
  • FIG. 8 is an optional model configuration interface provided by an embodiment of the present disclosure.
  • FIG. 9 is an optional data management interface provided by an embodiment of the present disclosure.
  • FIG. 10 is an optional flowchart of a method for managing raw remote sensing data provided by an embodiment of the present disclosure
  • FIG. 11 is a schematic flowchart of an optional map publishing method provided by an embodiment of the present disclosure.
  • FIG. 12 is a schematic diagram of the composition and structure of another remote sensing data processing device provided by an embodiment of the present disclosure.
  • Fig. 13 is a schematic diagram of a hardware entity of a remote sensing data processing device provided by an embodiment of the present disclosure.
  • An embodiment of the present disclosure provides a remote sensing data processing method capable of providing a variety of remote sensing maps.
  • the remote sensing data processing method provided by the embodiments of the present disclosure can be performed by an electronic device, wherein the electronic device can be any suitable device with data processing capabilities such as a server, a notebook computer, a tablet computer, a desktop computer, a smart TV, a set-top box, a mobile device (such as a mobile phone, a portable video player, a personal digital assistant, a dedicated messaging device, and a portable game device).
  • Fig. 1 is a schematic diagram of the implementation flow of a remote sensing data processing method provided by an embodiment of the present disclosure. As shown in Fig. 1, the method includes:
  • the original remote sensing data may be remote sensing image data and remote sensing vector data acquired by a remote sensing device.
  • the interpretation type of the original remote sensing data can also be obtained, the interpretation type is used to indicate the object type of the object to be detected in the original remote sensing data, and can represent the interpretation method determined by the user for the original remote sensing data. For example, when the interpretation type is a building detection type, it can be determined that the object type to be detected is a building type, and the interpretation method is to interpret the buildings in the original remote sensing data. Different interpretation types may correspond to different interpretation models, and different interpretation types may correspond to different types of objects.
  • the remote sensing data interpretation method provided by the embodiments of the present disclosure can be applied to an online remote sensing data interpretation platform, and the online remote sensing data interpretation platform is provided with interpretation models corresponding to various interpretation types. If there is a demand for interpretation, you can use the terminal to log in to the platform login URL corresponding to the online remote sensing data interpretation platform to enter the online remote sensing data interpretation platform.
  • the terminal may be any mobile network device, for example, a smart phone, a tablet computer, and the like. After that, the user can specify the raw remote sensing data that needs to be interpreted and the corresponding interpretation type on the terminal.
  • S102 Receive an interpretation instruction for the original remote sensing data, and generate an interpretation task corresponding to the original remote sensing data; the interpretation task is used to generate an interpretation result corresponding to the original remote sensing data.
  • the interpretation instruction may be an instruction sent by the terminal to interpret the original remote sensing data.
  • the interpretation result is the detection of the original remote sensing data according to the interpretation type, and the determined objects existing in the original remote sensing data.
  • the user can initiate an interpretation request in the terminal, for example, click the page control corresponding to "Start Interpretation" on the corresponding page of the terminal.
  • the terminal can generate an interpretation instruction and send it to the server.
  • the server can obtain the interpretation instruction, and generate a corresponding interpretation task in response to the interpretation instruction, and interpret the original remote sensing data based on the interpretation task to obtain an interpretation result.
  • a corresponding remote sensing map can be generated, and in response to the terminal's access request to the remote sensing map, a remote sensing map that can present the original remote sensing data and interpretation results can be sent to the terminal.
  • the type of the remote sensing map is related to the data type of the original remote sensing data.
  • the generation of the corresponding remote sensing map based on the original remote sensing data and the interpretation result can be achieved in the following manner: obtaining the data type corresponding to the original remote sensing data; generating a remote sensing map of at least one target type based on the interpretation result; the target type corresponds to the data type.
  • the original remote sensing data may include remote sensing image data and vector data; if the original remote sensing data is remote sensing image data, a grid map may be generated; if the original remote sensing data is vector data, a vector tile map and a grid map may be generated.
  • the obtained original remote sensing data after receiving the interpretation instruction, can be directly interpreted and the corresponding interpretation result and remote sensing map can be generated, which improves the generation efficiency of the remote sensing map, and further improves the convenience of releasing the remote sensing service including the remote sensing map; at the same time, the present disclosure can also obtain the original remote sensing data that needs to be interpreted and establish a corresponding interpretation task based on the user's needs, thereby obtaining a customized remote sensing map and improving the diversity of the remote sensing map.
  • FIG. 2 is a schematic flow diagram of a remote sensing data processing method provided by an embodiment of the present disclosure. Based on the embodiment in FIG. 1 , step S101 in FIG. 1 may include steps S201 to S203, as shown in FIG. 2 , and will be described in conjunction with the steps shown in FIG. 2 .
  • the system may provide the access address and/or access interface of the data management interface, and when receiving an access request carrying the access address and/or access interface, determine that the access request is a data management request, and enter the data management interface in response to the data management request.
  • the system may provide a function switching interface
  • the function switching interface includes a control corresponding to at least one service function provided by the system, wherein the control corresponding to the at least one service function includes a control corresponding to a data management function, and when a trigger operation for the control corresponding to the data management function is received, the data management interface is displayed.
  • the data management interface may be a sub-interface in the function switching interface, or a new interface independent of the function switching interface.
  • S202 Receive a trigger operation for the storage control in the data management interface, and create a storage task.
  • the data management interface includes at least a warehouse control. After receiving the trigger operation for the storage control, a storage task is established in response to the trigger operation.
  • the task attribute of the storage task can be set.
  • the task attribute may include the data address of the original remote sensing data, storage time and so on.
  • the system may store the warehousing task through at least one task queue, and based on a preset execution order, sequentially pull and execute the created warehousing tasks from the at least one task queue, and in response to the completion of the warehousing task, the original remote sensing data has been stored in the database.
  • the method may further include: in response to establishing the storage task, displaying a storage task management interface; the storage task management interface is used to display at least one established storage task; receiving a state switching instruction for a target established storage task in the at least one established storage task through the storage task management interface, and switching the task status of the target established storage task.
  • the warehousing task management interface can be directly displayed, and the warehousing task management interface displays at least one established warehousing task, for example, after the warehousing task A is created, the at least one established warehousing task displayed on the warehousing task management interface can include the created warehousing task A.
  • the warehousing task management interface can display the task progress and task status of each established warehousing task while displaying each established warehousing task.
  • the task progress and task status displayed through the storage task management interface can enable users to intuitively determine the storage situation of each original remote sensing data.
  • the storage task management interface may receive a state switching instruction for a target established storage task in the at least one established storage task.
  • the task state of the target established warehousing task can be switched.
  • the task state includes a start state, a pause state and a terminate state.
  • the data management interface includes a directory display area and a data display area; the method further includes: displaying at least one created directory through the directory display area; receiving a selection operation for a target created directory in the at least one created directory, and displaying the stored data stored in the target created directory in the data display area.
  • At least one created directory may be displayed on the data management interface, and at the same time, the stored data in the default created directory is displayed in the data display area.
  • the stored data stored in the target created directory is displayed in the data display area.
  • the acquiring the original remote sensing data based on the storage task and storing it in the database includes: obtaining the original remote sensing data based on the storage task, and storing the original remote sensing data in the created directory of the target.
  • the method further includes: receiving a catalog management operation through the data management interface; and updating catalog information in the database based on the catalog management operation.
  • the directory management operation may include operations of adding a directory, deleting a directory, modifying a directory, and the like.
  • the method further includes: receiving a management operation of the stored data through the data display area of the data management interface; and managing the stored data based on the management operation of the stored data.
  • the stored data management operation may include operations of deleting stored data, modifying stored data, and the like.
  • the warehousing task includes an upload task corresponding to the original remote sensing data and a preprocessing task corresponding to the original remote sensing data.
  • the establishment of the warehousing task corresponding to the data import operation includes: establishing the upload task corresponding to the import operation; the upload data is used to obtain the original data corresponding to the original remote sensing data; the preprocessing task is established; the preprocessing task is used to preprocess the original data to obtain the original remote sensing data;
  • the management of the original remote-sensing data can be completed by managing the warehouse-in task, which improves the pertinence of data import and improves the efficiency of data import as a whole; at the same time, because the established warehouse-in task is managed through the warehouse-in task management interface, the task status of the warehouse-in task can be changed at any time; the management of the original remote sensing data and the management of the warehouse-in task can be completed at the same time on the data management interface, which improves the convenience of data management and can speed up the processing efficiency of remote sensing data and remote sensing. Map construction efficiency.
  • Fig. 3 is a schematic diagram of the implementation flow of a remote sensing data processing method provided by an embodiment of the present disclosure. Based on the embodiment in Fig. 1, step S102 in Fig. 1 may include steps S301 to S304, as shown in Fig. 3 , which will be described in conjunction with the steps shown in Fig. 3 .
  • S301 Display an interpretation task creation interface; the interpretation task creation interface includes an interpretation model configuration area and a data configuration area.
  • the system may provide a function switching interface
  • the function switching interface includes a control corresponding to at least one service function provided by the system, wherein the control corresponding to the at least one service function includes a control corresponding to the interpretation task management function, and when a trigger operation for the control corresponding to the interpretation task management function is received, the interpretation task management interface is displayed.
  • the interpretation task management interface may be a sub-interface in the function switching interface, or a new interface independent of the function switching interface.
  • the interpretation task management interface includes an interpretation task creation control, and after receiving a trigger operation for the interpretation task creation control, the above interpretation task creation interface is displayed.
  • the interpretation task creation interface further includes an interpretation parameter display area
  • the method further includes: in response to acquiring the interpretation model corresponding to the interpretation task, acquiring interpretation parameters corresponding to the interpretation model; updating the display content of the interpretation parameter display area based on the interpretation parameters.
  • a selection operation for a target created model among at least one created model stored in the model library can be received through the interpretation model configuration area, and the target created model can be used as the interpretation model corresponding to the interpretation task.
  • each created model in the model library corresponds to the interpretation parameters of the created model. If the interpretation task creation interface further includes an interpretation parameter display area, in response to acquiring the interpretation model corresponding to the interpretation task, acquire the interpretation parameters corresponding to the interpretation model; update the display content of the interpretation parameter display area based on the interpretation parameters.
  • the data type of the original remote sensing data that can be interpreted by the interpretation model can be obtained, based on the data type, the original remote sensing data corresponding to the data type is screened from the stored data and displayed, and after receiving a selection operation for at least one displayed original remote sensing data, at least one original remote sensing data selected by the user is used as the original remote sensing data corresponding to the interpretation task.
  • the method further includes: in response to generating the interpretation task corresponding to the original remote sensing data, displaying an interpretation task management interface; the interpretation task management interface is used to display at least one established interpretation task; receiving an interpretation task management operation for a target established interpretation task in the at least one established interpretation task through the interpretation task management interface; and performing task management on the target established interpretation task based on the interpretation task management operation.
  • a state switching instruction for a target established interpretation task in the at least one established interpretation task can be received through the interpretation task management interface, and the task state of the target established interpretation task can be switched.
  • the interpretation task management interface may be displayed directly, and the interpretation task management interface displays at least one established interpretation task, for example, after the interpretation task A is created, the at least one established interpretation task displayed on the interpretation task management interface may include the created interpretation task A.
  • the interpretation task management interface can display the task progress and task status of each established interpretation task while displaying each established interpretation task.
  • the task progress and task status displayed on the interpretation task management interface can enable users to intuitively determine the interpretation status of each original remote sensing data.
  • a state switching instruction for a target established interpretation task in the at least one established interpretation task may be received through the interpretation task management interface.
  • the task state of the target established interpretation task may be switched.
  • the task state includes a start state, a pause state and a terminate state.
  • a deletion instruction for a target established interpretation task in the at least one established interpretation task may be received through the interpretation task management interface.
  • the target established interpreter task is deleted.
  • Fig. 4 is a schematic diagram of the implementation flow of a remote sensing data processing method provided by an embodiment of the present disclosure. Based on any of the above embodiments, taking Fig. 1 as an example, the method may further include steps S401 to S404, as shown in Fig. 4 , which will be described in conjunction with the steps shown in Fig. 4 .
  • S402. Receive a trigger operation for the model import control, and display a model import interface; the model import interface includes a model configuration area and a model upload area.
  • the model import interface after receiving a trigger operation on the model import control through the model management interface, the model import interface can be entered.
  • the model import interface may be a sub-interface in the model management interface, or another interface independent of the model management interface.
  • the upload operation for the model upload area can be received through the model management interface, and then the storage information of the target model can be obtained, and the target model can be obtained based on the storage information.
  • the storage information may be a storage address of the target model, a model identifier, and the like.
  • the initial interpretation parameters corresponding to the target model can be displayed in the model configuration area.
  • the initial interpretation parameters can be carried in the data file of the uploaded target model, or can be retrieved by the server from the local database based on the target model, which is not limited in this disclosure.
  • the configuration operation for the model configuration area can be received through the model management interface, and the updated interpretation parameters can be obtained, and the updated interpretation parameters can be used as the corresponding interpretation parameters of the target model.
  • the model management interface is further configured to display at least one established interpretation model.
  • the method further includes: receiving a model management operation for a target established model in the at least one established interpretation model through the model management interface; and managing the target established model based on the model management operation.
  • the model management operation may include a model query operation, a model deletion operation, a model modification operation, and the like.
  • interpretation models can be uploaded.
  • different types of interpretation models can be provided for different types of original remote sensing data, so as to improve the pertinence and interpretation accuracy of the interpretation tasks.
  • Fig. 5 is a schematic diagram of the implementation flow of a remote sensing data processing method provided by an embodiment of the present disclosure. Based on any of the above embodiments, taking Fig. 1 as an example, the method may further include steps S501 to S503, as shown in Fig. 5 , and will be described in conjunction with the steps shown in Fig. 5 .
  • S501 Display a map management interface in response to a map management request; the map management interface is used to display at least one published map.
  • the map management operation includes a map information query operation, and the above-mentioned map management operation based on the map management operation may be implemented through S5031 to S5033 to perform map management on the target published map.
  • map information display interface In response to the map information query operation, display a map information display interface corresponding to the target published map; the map information display interface includes a first display area and a second display area;
  • map information includes at least one of the following: address, data source, data source type, map creation time, and map thumbnail;
  • the data information includes at least one of the following: projection information, range, attribute field information.
  • the interpretation result includes at least one interpretation area in the original remote sensing data and interpretation information corresponding to each interpretation area.
  • the map management operation includes a style configuration operation. The above-mentioned management operation based on the map can be realized through S5034 to S5035. Map management of the target published map includes:
  • the style configuration interface In response to the style configuration operation, display a style configuration interface corresponding to the target published map; the style configuration interface includes a display configuration area corresponding to each interpretation information.
  • the target published map corresponds to the original remote sensing data and interpretation results at multiple time points
  • the style configuration interface includes a browsing mode configuration area
  • the method further includes: based on the browsing mode configuration area, obtaining browsing mode configuration data of the target published map; the browsing mode configuration data is used to determine the browsing mode of the remote sensing maps at the multiple time points.
  • the browsing mode includes at least one of a single-time-point browsing mode and a multi-time-point browsing mode;
  • the single-time-point browsing mode is used to display the remote sensing map corresponding to the target time point on the map providing interface corresponding to the target published map in response to the selection operation of the target time point among the multiple time points;
  • the multi-time point browsing mode is used to simultaneously display the remote sensing map corresponding to each target time point on the map providing interface corresponding to the target published map in response to the selection operation of at least two target time points among the multiple time points.
  • the single time point browsing mode can display the remote sensing map corresponding to the current target time point for the user, which is convenient for the user to observe the remote sensing information between various parts of the current geographical area at the target time point as a whole;
  • the multi-time point browsing mode can simultaneously display the remote sensing map corresponding to the same geographical area at least two target time points for the user, which is convenient for the user to observe the remote sensing information of the same geographical area from multiple target time points, and then complete the comparison of remote sensing information.
  • the interpretation result includes interpretation sub-results of at least one interpretation type
  • the style configuration interface includes a statistical configuration area
  • the method further includes: based on the statistical configuration area, acquiring a selection operation for a target interpretation type in the at least one interpretation type; receiving a statistical configuration operation for the target interpretation type, and determining a statistical model corresponding to the target interpretation type; the statistical model is used to determine changes in the interpretation sub-results of the target interpretation type at the multiple time points.
  • the interpretation type is the type of the object obtained by interpreting the original remote sensing data.
  • the interpretation type may include building type, greening type, and the like.
  • the statistical model is used to display the change of the statistical information of the target interpretation type at different time points through statistical graphs.
  • the statistical graphs can be line graphs, histograms, scatter graphs, etc., and the statistical information can be ratio information, total information, etc.
  • the selection operation for the building type can be received through the statistical configuration area, and the map provides an interface that can display the distribution area corresponding to the building type.
  • the statistical model corresponding to the building type is to display the area proportion of the building type through a line graph, the change of the proportion of the building area in the geographical area at different time points can be displayed through the line graph.
  • the map management operation includes a map preview operation, and the above-mentioned map management operation based on the map management operation may be implemented through S5036 to S5037 to perform map management on the target published map.
  • the browsing operation may include at least one of the following operations: translation operation, zoom-in operation, zoom-out operation, and the like.
  • the style of the remote sensing map can be edited, and a personalized remote sensing map can be provided based on the individual needs of the user, thereby enabling the user to obtain necessary information from the remote sensing map more intuitively, reducing the number of visits to the server, and reducing the access pressure on the server.
  • the rapid development of deep learning technology has brought more choices to traditional remote sensing data interpretation.
  • the "remote sensing + artificial intelligence" interpretation method not only greatly improves the processing efficiency, but at the same time, with more and more application directions of remote sensing technology, the embodiment of the present disclosure provides a management system.
  • the visual management system will be described below.
  • the system may include a remote sensing monitoring part and an information service part, wherein the remote sensing monitoring part is configured to manage remote sensing data, and the information service part is configured to provide remote sensing maps based on the remote sensing data.
  • the remote sensing monitoring part may include a data preprocessing subsection, a model management subsection, a data management subsection and an intelligent interpretation subsection.
  • the data preprocessing subsection can be configured to store the original remote sensing data into the system and perform necessary preprocessing operations. Wherein, the preprocessing operation may include at least one of the following: automatic splicing and automatic color uniformity. In some embodiments, the data preprocessing subsection can also tailor the interpretation results corresponding to the original remote sensing data according to specified requirements.
  • FIG. 6 shows an optional preprocessing task management interface provided by an embodiment of the present disclosure, wherein the preprocessing task management interface A10 includes a preprocessing task display area A11, and the preprocessing task display area A11 is used to display at least one established preprocessing task.
  • the established preprocessing task may include the first preprocessing task A111 whose task status is completed, and each first preprocessing task A111 corresponds to at least one operation control, and the operation control includes a preview control A112 and a delete control A113.
  • the user can display the processing result corresponding to the first preprocessing task A111 by acting on the preview control A112, or delete the processing result corresponding to the first preprocessing task A111 by acting on the delete control A113.
  • the established preprocessing task may also include a second preprocessing task A114 whose task status is unfinished, and each second preprocessing task A114 corresponds to a progress control A115, and the progress control A115 is used to display the task execution progress of the second preprocessing task A114, which can be displayed through a display form such as a dynamically changing progress bar, and the display form is not limited here.
  • the model management sub-part can be configured to manage various models that will be used by the system. Users can upload models to the system and configure the basic properties of these models. Correspondingly, users can also delete models according to actual needs.
  • FIG. 7 shows an optional model management interface provided by an embodiment of the present disclosure, wherein the model management interface B10 includes a model upload control B11 and a model configuration area B12.
  • the model file uploaded by the user can be received through the model upload control B11.
  • the uploading process of the model file may include: receiving a trigger operation for the model upload control B11 to enter the file sub-interface; receiving the storage information of the model file through the file sub-interface, and obtaining the model file based on the storage information.
  • the storage information may be the storage address of the model file, the file identifier, and the like.
  • the model configuration area B12 may include at least one configuration sub-area for interpretation parameters. As shown in FIG. 7 , the interpretation parameters in the model configuration area B12 include model name, image resolution, image bit depth, number of image bands, image band information, background pixel value, model category, etc.
  • the model management interface B10 also includes a model saving control B13.
  • the format of the acquired model file and/or interpretation parameters can be verified based on a preset verification rule, and if the format verification is successful, the model file and/or interpretation parameters are stored in the model library as the interpretation model.
  • the remote sensing interpretation subpart can be configured to interpret the stored remote sensing data based on the uploaded model.
  • the remote sensing interpretation subsection can also be configured to manage interpretation tasks. Wherein, the remote sensing interpretation subsection can implement management operations such as establishment and deletion of interpretation tasks based on user operations; the remote sensing interpretation subsection can also be configured to configure interpretation parameters for each interpretation task.
  • the interpretation parameter may include at least one of the following: an interpretation object parameter, an interpretation model parameter, and a model configuration parameter; the interpretation object parameter may be used to determine the original remote sensing data that needs to be interpreted for the interpretation task, for example, it may be the file name and storage address of the original remote sensing data; the interpretation model parameter is used to determine the interpretation model corresponding to the current interpretation task; the model configuration parameter may be used to determine the interpretation parameter corresponding to the current interpretation model.
  • the remote sensing interpretation sub-part can display established interpretation tasks through a visual interface.
  • at least one established interpretation task can be displayed through the task management interface.
  • the task management interface can also receive a selection operation for the target interpretation task in the at least one interpretation task, and display the task status of the target interpretation task.
  • the task status can include the task progress, remote sensing data information, and interpretation result information of the target interpretation task.
  • a state change request for the target interpretation task can also be received through the task management interface, and the state change request is used to switch the task state of the target interpretation task, that is, switch between at least two task states such as start state and pause state.
  • the user may first select an interpretation model corresponding to the interpretation task.
  • the interpretation model may be, but not limited to, a building model, a building change model, a green space model, etc., and different interpretation models may be expanded according to user needs. You can determine the interpretation model selected by the user through the model configuration interface, select the original remote sensing data to be interpreted, start the interpretation task, and display the task management page.
  • FIG. 8 shows an optional model configuration interface provided by an embodiment of the present disclosure, wherein the model configuration interface C10 includes a model selection area C11 and a parameter display area C12 .
  • the interpretation model selected by the user is determined through the model selection area C11, and in response to the acquisition of the interpretation model, the interpretation parameters corresponding to the interpretation model are displayed in the parameter display area C12.
  • the interpretation parameters include but not limited to model name, image resolution, image bit depth, number of image bands, image band information, background pixel value, model category, etc.
  • the data management subpart can be configured to manage the remote sensing data in the system.
  • the remote sensing data includes the unprocessed original remote sensing data stored in the above-mentioned database, and can also include the interpretation results of the original remote sensing data after being interpreted by the interpretation model.
  • the preset management operations in the data management subsection may include deleting, modifying name and attribute information, creating directories, managing directories, and so on.
  • FIG. 9 shows an optional data management interface provided by an embodiment of the present disclosure, wherein the data management interface D10 includes a directory selection area D11 and a data display area D12, wherein the directory selection area D11 is used to display at least one storage directory in the system, and in response to a selection operation of a target storage directory in the at least one storage directory, the data stored in the target storage directory is displayed in the data display area D12.
  • the data management interface D10 includes a directory selection area D11 and a data display area D12, wherein the directory selection area D11 is used to display at least one storage directory in the system, and in response to a selection operation of a target storage directory in the at least one storage directory, the data stored in the target storage directory is displayed in the data display area D12.
  • FIG. 10 is a schematic flowchart of an optional raw remote sensing data management method provided by an embodiment of the present disclosure, which will be described in conjunction with the steps shown in FIG. 10 .
  • the data type of the original remote sensing data may be but not limited to image data, vector data, metadata and other data.
  • step S1003 when the upload instruction is used to indicate that the original remote sensing data is allowed to be uploaded, step S1003 is performed; when the upload instruction is used to indicate that the original remote sensing data is not allowed to be uploaded, step S1004 is performed.
  • step S1005 is executed to switch between the start state and the pause state.
  • step S1006 cancel the upload task, and execute step S1004.
  • a management instruction for the original remote sensing data may be received, and the original remote sensing data may be managed in response to the management instruction.
  • the management instruction may include at least one of the following: data browsing instruction, data editing instruction, data deletion instruction and data retrieval instruction.
  • FIG. 11 is a schematic flowchart of an optional map publishing method provided by an embodiment of the present disclosure, which will be described in conjunction with the steps shown in FIG. 11 .
  • the data type of the original remote sensing data may be but not limited to image data, vector data, metadata and other data.
  • the map creation instruction is at least used to determine the data source and map name corresponding to the remote sensing map.
  • the map creation instruction is used to determine the data source and map name corresponding to the remote sensing map;
  • the map creation instruction is used to determine the data source, map name and map style corresponding to the remote sensing map.
  • the aforementioned management of the remote sensing map may include: map release, map management, map preview, and map style configuration.
  • map publishing the system supports two kinds of data map publishing functions, which can publish remote sensing image data into raster maps.
  • Vector data can be published in two modes: vector tile map and raster map. After the map is published, you can delete and modify it, and you can also control the status of the map, suspend or start the service status of these maps.
  • Map management Map preview After the map is released, the map effect can be previewed in the system, and general map browsing operations can also be performed, including panning, zooming in, and zooming out.
  • Map style configuration The map can be style configured through the system and set as the default display style when the map user uses the map.
  • the above-mentioned system can be used in the scene of illegal construction supervision of buildings.
  • users can set classification labels (highly suspected, generally suspected, not illegal) and other remarks for each change.
  • the user can browse all remote sensing images and illegal construction intelligence data, including the situation at any point in history (interpreted and configured), and can see the statistical results of the number of illegal constructions at each time point, and can also view the degree of change in illegal constructions between various time points in the form of an intuitive line graph.
  • the system also supports browsing data of two time points at the same time, including two modes of rolling shutter and split screen.
  • the user can obtain all the illegal building information in the time node in a list form, and view the illegal building information one by one in the form of flipping (click or keyboard up and down keys).
  • the above-mentioned system can be used in greening supervision scenarios.
  • users can browse all the city appearance and green distribution data, including the situation at any time point in history (interpreted and configured), and can see the green area and green rate at each time point, and can also view the green area and green rate changes between time points in the form of an intuitive line graph. Users can also display only satellite images or display satellite images together with the distribution of urban greenery.
  • the system also supports browsing data of two time points at the same time, including two modes of rolling shutter and split screen.
  • the system supports users to dynamically configure the display styles of various ground features in the city appearance and greening situation. Users can configure the edge lines and fill styles of each type of ground features according to their own preferences. After configuration, they will be displayed on the map in real time and can be automatically recorded by the system, which is convenient for next browsing.
  • FIG. 12 is a schematic diagram of the composition and structure of a remote sensing data processing device provided by an embodiment of the present disclosure. As shown in FIG. 12 , the remote sensing data processing device 1200 includes:
  • the obtaining part 1201 is configured to obtain the original remote sensing data
  • the interpretation part 1202 is configured to receive an interpretation instruction for the original remote sensing data, and generate an interpretation task corresponding to the original remote sensing data; the interpretation task is used to generate an interpretation result corresponding to the original remote sensing data;
  • the generating part 1203 is configured to generate a corresponding remote sensing map based on the original remote sensing data and the interpretation result.
  • the acquisition part 1201 is further configured to display a data management interface in response to a data management request; receive a trigger operation for the storage control in the data management interface, and establish a storage task; based on the storage task, obtain the original remote sensing data.
  • the acquisition part 1201 is further configured to display a storage task management interface in response to establishing the storage task; the storage task management interface is used to display at least one established storage task; receive a state switching instruction for a target established storage task in the at least one established storage task through the storage task management interface, and switch the task status of the target established storage task.
  • the data management interface includes a directory display area and a data display area; the acquisition part 1201 is further configured to display at least one created directory through the directory display area; receive a selection operation for a target created directory in the at least one created directory, and display the stored data stored in the target created directory in the data display area.
  • the interpretation part 1202 is further configured to display an interpretation task creation interface; the interpretation task creation interface includes an interpretation model configuration area and a data configuration area; in response to the configuration operation on the interpretation model configuration area, obtain the interpretation model corresponding to the interpretation task; in response to the configuration operation on the data configuration area, obtain the original remote sensing data corresponding to the interpretation task; generate the interpretation task based on the interpretation model and the original remote sensing data corresponding to the interpretation task; Interpreting the original remote sensing data and generating a corresponding interpretation result.
  • the interpretation task creation interface includes an interpretation model configuration area and a data configuration area; in response to the configuration operation on the interpretation model configuration area, obtain the interpretation model corresponding to the interpretation task; in response to the configuration operation on the data configuration area, obtain the original remote sensing data corresponding to the interpretation task; generate the interpretation task based on the interpretation model and the original remote sensing data corresponding to the interpretation task; Interpreting the original remote sensing data and generating a corresponding interpretation result.
  • the interpretation task creation interface further includes an interpretation parameter display area
  • the interpretation part 1202 is further configured to, in response to acquiring the interpretation model corresponding to the interpretation task, acquire the interpretation parameters corresponding to the interpretation model; update the display content in the interpretation parameter display area based on the interpretation parameters.
  • the interpretation part 1202 is further configured to display an interpretation task management interface in response to generating the interpretation task corresponding to the original remote sensing data; the interpretation task management interface is used to display at least one established interpretation task; receive an interpretation task management operation for a target established interpretation task in the at least one established interpretation task through the interpretation task management interface; perform task management on the target established interpretation task based on the interpretation task management operation.
  • the interpreting part 1202 is further configured to display a model management interface in response to a model management request;
  • the model management interface includes a model import control; receiving a trigger operation for the model import control, and displaying a model import interface;
  • the model import interface includes a model configuration area and a model upload area; in response to the upload operation directed at the model upload area, obtain the target model, and in response to the configuration operation directed at the model configuration area, obtain the interpretation parameters corresponding to the target model; store the target model and the corresponding interpretation parameters as established interpretation models in in the database.
  • the model management interface is also used to display at least one established interpretation model: the interpretation part 1202 is further configured to receive a model management operation for a target established model in the at least one established interpretation model through the model management interface; based on the model management operation, manage the target established model.
  • the generating part 1203 is further configured to obtain the data type corresponding to the original remote sensing data; generate a remote sensing map of at least one target type based on the interpretation result; the target type corresponds to the data type.
  • the generating part 1203 is further configured to display a map management interface in response to a map management request; the map management interface is used to display at least one published map; receive a map management operation for a target published map in the at least one published map through the map management interface; and manage the target published map based on the map management operation.
  • the map management operation includes a map information query operation
  • the generating part 1203 is further configured to display a map information display interface corresponding to the target published map in response to the map information query operation
  • the map information display interface includes a first display area and a second display area
  • the map information of the target published map is displayed through the first display area
  • the map information includes at least one of the following: address, data source, data source type, map creation time, and map thumbnail; Including at least one of the following: projection information, range, attribute field information.
  • the interpretation result includes at least one interpretation area in the original remote sensing data and interpretation information corresponding to each interpretation area;
  • the map management operation includes a style configuration operation, and the generating part 1203 is further configured to display a style configuration interface corresponding to the target published map in response to the style configuration operation;
  • the style configuration interface includes a display configuration area corresponding to each interpretation information; based on the display configuration area corresponding to each interpretation information, acquire the display configuration data of the target published map; the display configuration data is used to determine each of the interpretations The display effect of the interpretation area corresponding to the translation information.
  • the target published map corresponds to the original remote sensing data and interpretation results of multiple time points
  • the style configuration interface includes a browsing mode configuration area
  • the generating part 1203 is further configured to obtain browsing mode configuration data of the target published map based on the browsing mode configuration area
  • the browsing mode configuration data is used to determine the browsing mode of the remote sensing map of the multiple time points
  • the browsing mode includes at least one of a single time point browsing mode and a multi-time point browsing mode
  • the selection operation of the target time point is to display the remote sensing map corresponding to the target time point on the map providing interface corresponding to the target published map
  • the multi-time point browsing mode is used to respond to the selection operation of at least two target time points in the plurality of time points, and simultaneously display the remote sensing map corresponding to each target time point on the map providing interface corresponding to the target published map.
  • the interpretation result includes interpretation sub-results of at least one interpretation type
  • the style configuration interface includes a statistical configuration area
  • the generating part 1203 is further configured to obtain, based on the statistical configuration area, a selection operation for a target interpretation type in the at least one interpretation type; receive a statistical configuration operation for the target interpretation type, and determine a statistical model corresponding to the target interpretation type; the statistical model is used to determine changes in the interpretation sub-results of the target interpretation type at the multiple time points.
  • the map management operation includes a map preview operation
  • the generating part 1203 is further configured to, in response to the map preview operation, display a map preview interface corresponding to the target published map; the map preview interface is used to display the remote sensing map rendered based on the original remote sensing data and the interpretation result; receive a browsing operation on the remote sensing map through the map preview interface, and refresh the display status of the remote sensing map.
  • the above-mentioned remote sensing data processing method is realized in the form of software functions and sold or used as an independent product, it can also be stored in a computer-readable storage medium.
  • the computer software products are stored in a storage medium, and include several instructions to make a device execute all or part of the methods of the various embodiments of the present disclosure.
  • the aforementioned storage medium includes: various media that can store program codes such as U disk, mobile hard disk, read-only memory (Read Only Memory, ROM), magnetic disk or optical disk.
  • embodiments of the present disclosure are not limited to any targeted combination of hardware and software.
  • FIG. 13 is a schematic diagram of a hardware entity of a remote sensing data processing device provided by an embodiment of the present disclosure.
  • the hardware entity of the remote sensing data processing device 1300 includes: a processor 1301 and a memory 1302, wherein the memory 1302 stores a computer program that can run on the processor 1301, and the processor 1301 implements the steps in the method of any of the above embodiments when executing the program.
  • the memory 1302 stores computer programs that can run on the processor.
  • the memory 1302 is configured to store instructions and applications executable by the processor 1301, and can also cache data (such as image data, audio data, voice communication data, and video communication data) to be processed by the processor 1301 and various parts of the remote sensing data processing device 1300, which can be realized by flash memory (FLASH) or random access memory (Random Access Memory, RAM).
  • FLASH flash memory
  • RAM Random Access Memory
  • the processor 1301 executes the program, the steps in the method in any of the foregoing embodiments are implemented.
  • the processor 1301 generally controls the overall operation of the remote sensing data processing device 1300 .
  • An embodiment of the present disclosure provides a computer storage medium, where one or more programs are stored in the computer storage medium, and the one or more programs can be executed by one or more processors to implement the steps of the remote sensing data processing method in any of the above embodiments.
  • An embodiment of the present disclosure provides a computer program product, the computer program product includes a non-transitory computer-readable storage medium storing a computer program, and when the computer program is read and executed by a computer, the steps of the remote sensing data processing method in any of the above embodiments are implemented.
  • the above-mentioned processor can be an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), a digital signal processor (Digital Signal Processor, DSP), a digital signal processing device (Digital Signal Processing Device, DSPD), a programmable logic device (Programmable Logic Device, PLD), a field programmable gate array (Field Programmable Gate Array, FPGA) ), at least one of a central processing unit (Central Processing Unit, CPU), a controller, a microcontroller, and a microprocessor. Understandably, the electronic device that implements the above processor function may also be other, which is not limited in this embodiment of the present disclosure.
  • the above-mentioned computer storage medium/memory can be read-only memory (Read Only Memory, ROM), programmable read-only memory (Programmable Read-Only Memory, PROM), erasable programmable read-only memory (Erasable Programmable Read-Only Memory, EPROM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, EEPROM), magnetic random memory Access memory (Ferromagnetic Random Access Memory, FRAM), flash memory (Flash Memory), magnetic surface memory, optical disc, or compact disc read-only memory (Compact Disc Read-Only Memory, CD-ROM) and other storage; it can also be various terminals including one or any combination of the above-mentioned memories, such as mobile phones, computers, tablet devices, personal digital assistants, etc.
  • references to “one embodiment” or “an embodiment” or “embodiments of the present disclosure” or “previous embodiments” or “some embodiments” throughout the specification mean that the target features, structures or characteristics related to the embodiments are included in at least one embodiment of the present disclosure.
  • appearances of "in one embodiment” or “in an embodiment” or “embodiments of the disclosure” or “the foregoing embodiments” or “some embodiments” throughout the specification are not necessarily referring to the same embodiments.
  • the features, structures or characteristics of these objects may be combined in any suitable manner in one or more embodiments.
  • sequence numbers of the above-mentioned processes do not mean the order of execution, and the execution order of each process should be determined by its functions and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present disclosure.
  • the serial numbers of the above-mentioned embodiments of the present disclosure are for description, and do not represent the advantages and disadvantages of the embodiments.
  • the remote sensing data processing device executes any step in the embodiments of the present disclosure, and may be a processor of the remote sensing data processing device executes the step. Unless otherwise specified, the embodiment of the present disclosure does not limit the order in which the remote sensing data processing device executes the following steps. In addition, the methods for processing data in different embodiments may be the same method or different methods. It should also be noted that any step in the embodiments of the present disclosure can be executed independently by the remote sensing data processing device, that is, when the remote sensing data processing device executes any step in the above embodiments, it may not depend on the execution of other steps.
  • the disclosed devices and methods may be implemented in other ways.
  • the device embodiments described above are schematic.
  • the division of the parts is a logical function division.
  • the mutual coupling, or direct coupling, or communication connection of various components shown or discussed may be through some interfaces, and the indirect coupling or communication connection of devices or parts may be electrical, mechanical or other forms.
  • the parts described above as separate components may or may not be physically separated, and the components displayed as parts may or may not be physical parts; they may be located in one place or distributed to multiple network parts; some or all of them may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
  • each functional part in each embodiment of the present disclosure may be fully integrated into one processing part, or each part may be separately regarded as one part, or two or more parts may be integrated into one part; the above-mentioned integrated part may be implemented in the form of hardware, or may be implemented in the form of hardware plus software functional parts.
  • the above-mentioned integrated part of the present disclosure is realized in the form of software function part and sold or used as an independent product, it can also be stored in a computer-readable storage medium.
  • the computer software product is stored in a storage medium and includes several instructions to make a computer device (which can be a personal computer, a detection device, or a network device, etc.) execute all or part of the methods described in the various embodiments of the present disclosure.
  • the aforementioned storage media include: various media that can store program codes such as removable storage devices, ROMs, magnetic disks, or optical disks.
  • An embodiment of the present disclosure discloses a remote sensing data processing method, device, device, and storage medium, wherein the method includes: acquiring original remote sensing data; receiving an interpretation instruction for the original remote sensing data, and generating an interpretation task corresponding to the original remote sensing data; the interpretation task is used to generate an interpretation result corresponding to the original remote sensing data; and generating a corresponding remote sensing map based on the original remote sensing data and the interpretation result.
  • the obtained original remote sensing data after receiving the interpretation instruction, can be directly interpreted and the corresponding interpretation result and remote sensing map can be generated, which improves the generation efficiency of the remote sensing map, and further improves the convenience of releasing the remote sensing service including the remote sensing map; at the same time, the present disclosure can also obtain the original remote sensing data that needs to be interpreted based on user needs and establish a corresponding interpretation task, thereby obtaining a customized remote sensing map and improving the diversity of the remote sensing map.

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Abstract

本公开实施例公开了一种遥感数据处理方法、装置、设备及存储介质，其中，该方法包括：获取原始遥感数据；接收针对所述原始遥感数据的解译指令，生成所述原始遥感数据对应的解译任务；所述解译任务用于生成所述原始遥感数据对应的解译结果；基于所述原始遥感数据和所述解译结果生成对应的遥感地图。

Description

一种遥感数据处理方法、装置、设备、存储介质和计算机程序产品
相关申请的交叉引用
本公开基于申请号为202210060338.0、申请日为2022年01月19日、申请名称为“一种遥感数据处理方法、装置、设备及存储介质”的中国专利申请提出，并要求该中国专利申请的优先权，该中国专利申请的全部内容在此引入本公开作为参考。
技术领域
本公开实施例涉及遥感领域，尤其涉及一种遥感数据处理方法、装置、设备、存储介质和计算机程序产品。
背景技术
为了获取拍摄的原始遥感数据(影像数据/矢量数据)对应的地域的地域特征，需要将原始遥感数据输入解译软件，利用解译软件对原始遥感数据进行解译处理，得到能够反映地域特征的解译结果。可以看出，现有的解译软件功能单一，无法针对用户的实际需求生成针对性的遥感地图。
发明内容
本公开实施例提供一种遥感数据处理方法、装置、设备、存储介质和计算机程序产品。
一方面，本公开实施例提供一种遥感数据处理方法，所述方法包括：获取原始遥感数据；接收针对所述原始遥感数据的解译指令，生成所述原始遥感数据对应的解译任务；所述解译任务用于生成所述原始遥感数据对应的解译结果；基于所述原始遥感数据和所述解译结果生成对应的遥感地图。
在一些实施例中，所述获取原始遥感数据包括：响应于数据管理请求，显示数据管理界面；接收针对所述数据管理界面中入库控件的触发操作，建立入库任务；基于所述入库任务，获取所述原始遥感数据。
在一些实施例中，所述方法还包括：响应于建立所述入库任务，显示入库任务管理界面；所述入库任务管理界面用于显示至少一个已建立入库任务；通过所述入库任务管理界面接收针对所述至少一个已建立入库任务中的目标已建立入库任务的状态切换指令，切换所述目标已建立入库任务的任务状态。
在一些实施例中，所述数据管理界面包括目录显示区域和数据显示区域；所述方法还包括：通过所述目录显示区域显示至少一个已创建目录；接收针对所述至少一个已创建目录中目标已创建目录的选择操作，在所述数据显示区域显示所述目标已创建目录中存储的已入库数据。
在一些实施例中，所述接收针对所述原始遥感数据的解译指令，生成所述原始遥感数据对应的解译任务，包括：显示解译任务创建界面；所述解译任务创建界面包括解译模型配置区域和数据配置区域；响应于针对所述解译模型配置区域的配置操作，获取所述解译任务对应的解译模型；响应于针对所述数据配置区域的配置操作，获取所述解译任务对应的原始遥感数据；基于所述解译任务对应的解译模型和原始遥感数据，生成所述解译任务；所述解译任务用于基于所述解译模型对所述原始遥感数据进行解译并生成对应的解译结果。
在一些实施例中，所述解译任务创建界面还包括解译参数显示区域，所述方法还包括：响应于获取所述解译任务对应的解译模型，获取所述解译模型对应的解译参数；基于所述解译参数更新所述解译参数显示区域的显示内容。
在一些实施例中，所述方法还包括：响应于生成所述原始遥感数据对应的解译任务，显示解译任务管理界面；所述解译任务管理界面用于显示至少一个已建立解译任务；通过所述解译任务管理界面接收针对所述至少一个已建立解译任务中的目标已建立解译任务的解译任务管理操作；基于所述解译任务管理操作，对所述目标已建立解译任务进行任务管理。
在一些实施例中，所述方法还包括：响应于模型管理请求，显示模型管理界面；所述模型管理界面包括模型导入控件；接收针对所述模型导入控件的触发操作，显示模型导入界面；所述模型导入界面包括模型配置区域和模型上传区域；响应于针对所述模型上传区域的上传操作，获取目标模型，并响应于针对所述模型配置区域的配置操作，获取所述目标模型对应的解译参数；将所述目标模型和对应的解译参数作为已建立解译模型存储于数据库中。
在一些实施例中，所述模型管理界面还用于显示至少一个已建立解译模型：所述方法还包括：通过所述模型管理界面接收针对所述至少一个已建立解译模型中的目标已建立模型的模型管理操作；基于所述模型管理操作，对所述目标已建立模型进行管理。
在一些实施例中，所述基于所述原始遥感数据和所述解译结果生成对应的遥感地图，包括：获取所述原始遥感数据对应的数据类型；基于所述解译结果生成至少一种目标类型的遥感地图；所述目标类型与所述数据类型对应。
在一些实施例中，所述方法还包括：响应于地图管理请求，显示地图管理界面；所述地图管理界面用于显示至少一个已发布地图；通过所述地图管理界面接收针对所述至少一个已发布地图中的目标已发布地图的地图管理操作；基于所述地图管理操作，对所述目标已发布地图进行管理。
在一些实施例中，所述地图管理操作包括地图信息查询操作，所述基于所述地图管理操作，对所述目标已发布地图进行管理，包括：响应于所述地图信息查询操作，显示所述目标已发布地图对应的地图信息显示界面；所述地图信息显示界面包括第一显示区域和第二显示区域；通过所述第一显示区域显示所述目标已发布地图的地图信息；所述地图信息包括以下至少之一：地址、数据源、数据源类型、地图创建时间和地图缩略图；通过所述第二显示区域显示所述目标已发布地图的数据信息；所述数据信息包括以下至少之一：投影信息，范围，属性字段信息。
在一些实施例中，所述解译结果包括所述原始遥感数据中至少一个解译区域和每一所述解译区域对应的解译信息；所述地图管理操作包括样式配置操作，所述基于所述地图管理操作，对所述目标已发布地图进行管理包括：响应于所述样式配置操作，显示所述目标已发布地图对应的样式配置界面；所述样式配置界面包括每一所述解译信息对应的显示配置区域；基于每一所述解译信息对应的显示配置区域，获取所述目标已发布地图的显示配置数据；所述显示配置数据用于确定每一所述解译信息对应的解译区域的显示效果。
在一些实施例中，所述目标已发布地图对应多个时间点的原始遥感数据和解译结果，所述样式配置界面包括浏览模式配置区域；所述方法还包括：基于所述浏览模式配置区域，获取所述目标已发布地图的浏览模式配置数据；所述浏览模式配置数据用于确定所述多个时间点的遥感地图的浏览模式；其中，所述浏览模式包括单时间点浏览模式和多时间点浏览模式中的至少一项；所述单时间点浏览模式用于响应于针对所述多个时间点中目标时间点的选择操作，在所述目标已发布地图对应的地图提供界面显示所述目标时间点对应的遥感地图；所述多时间点浏览模式用于响应于针对所述多个时间点中至少两个目标时间点的选择操作，在所述目标已发布地图对应的地图提供界面同时显示每一所述目标时间点对应的遥感地图。
在一些实施例中，所述解译结果包括至少一个解译类型的解译子结果，所述样式配置界面包括统计配置区域；所述方法还包括：基于所述统计配置区域，获取针对所述至少一 个解译类型中目标解译类型的选择操作；接收针对所述目标解译类型的统计配置操作，确定所述目标解译类型对应的统计模型；所述统计模型用于确定所述目标解译类型的解译子结果在所述多个时间点中的变化情况。
在一些实施例中，所述地图管理操作包括地图预览操作，所述基于所述地图管理操作，对所述目标已发布地图进行管理包括：响应于所述地图预览操作，显示所述目标已发布地图对应的地图预览界面；所述地图预览界面用于显示基于所述原始遥感数据和所述解译结果渲染后的遥感地图；通过所述地图预览界面接收针对所述遥感地图的浏览操作，刷新所述遥感地图的显示状态。
另一方面，提供一种遥感数据处理装置，所述装置包括：获取部分，被配置为获取原始遥感数据；解译部分，被配置为接收针对所述原始遥感数据的解译指令，生成所述原始遥感数据对应的解译任务；所述解译任务用于生成所述原始遥感数据对应的解译结果；生成部分，被配置为基于所述原始遥感数据和所述解译结果生成对应的遥感地图。
再一方面，提供一种电子设备，包括：存储器，用于存储可执行计算机程序；处理器，用于在执行所述存储器中存储的可执行计算机程序的情况下，实现上述实施例中任一实施例所述的方法。
又一方面，提供一种计算机可读存储介质，其上存储有计算机程序，在所述计算机程序被处理器执行的情况下，实现上述实施例中任一实施例所述的方法。
又一方面，提供一种计算机程序产品，所述计算机程序产品包括存储了计算机程序的非瞬时性计算机可读存储介质，在所述计算机程序被计算机读取并执行的情况下，实现上述实施例中任一实施例所述的方法。
在本公开实施例中，由于在接收到解译指令后，可以直接对获取到的原始遥感数据进行解译并生成对应的解译结果和遥感地图，提升了遥感地图的生成效率，进而可以提升包含该遥感地图的遥感服务发布的便捷性；同时，本公开实施例还可以基于用户需求获取需要解译的原始遥感数据并建立对应的解译任务，进而可以得到定制化的遥感地图，提升了遥感地图的多样性。
附图说明
此处的附图被并入说明书中并构成本说明书的一部分，这些附图示出了符合本公开的实施例，并与说明书一起用于说明本公开的技术方案。
图1为本公开实施例提供的一种遥感数据处理方法的实现流程示意图；
图2为本公开实施例提供的一种遥感数据处理方法的实现流程示意图；
图3为本公开实施例提供的一种遥感数据处理方法的实现流程示意图；
图4为本公开实施例提供的一种遥感数据处理方法的实现流程示意图；
图5为本公开实施例提供的一种遥感数据处理方法的实现流程示意图；
图6为本公开实施例提供的一种可选的预处理任务管理界面；
图7为本公开实施例提供的一种可选的模型管理界面；
图8为本公开实施例提供的一种可选的模型配置界面；
图9为本公开实施例提供的一种可选的数据管理界面；
图10为本公开实施例提供的原始遥感数据管理方法的一个可选的流程示意图；
图11为本公开实施例提供的地图发布方法的一个可选的流程示意图；
图12为本公开实施例提供的另一种遥感数据处理装置的组成结构示意图；
图13为本公开实施例提供的一种遥感数据处理设备的硬件实体示意图。
具体实施方式
下面将通过实施例并结合附图对本公开的技术方案进行详细说明。下面这几个的实施例可以相互结合，对于相同或相似的概念或过程可能在某些实施例中不再重复说明。
需要说明的是：在本公开实例中，“第一”、“第二”等是用于区别类似的对象，而不必用于描述目标的顺序或先后次序。另外，本公开实施例所记载的技术方案之间，在不冲突的情况下，可以任意组合。
除非另有定义，本文所使用的所有的技术和科学术语与属于本公开的技术领域的技术人员通常理解的含义相同。本文中所使用的术语只是为了描述本公开实施例的目的，不是旨在限制本公开。
本公开实施例提供一种遥感数据处理方法，能够提供多样化的遥感地图。本公开实施例提供的遥感数据处理方法可以由电子设备执行，其中，电子设备可以为如服务器、笔记本电脑、平板电脑、台式计算机、智能电视、机顶盒、移动设备(例如移动电话、便携式视频播放器、个人数字助理、专用消息设备、便携式游戏设备)等任意合适的具备数据处理能力的设备。
图1是本公开实施例提供的一种遥感数据处理方法的实现流程示意图，如图1所示，该方法包括：
S101、获取原始遥感数据。
在一些实施例中，该原始遥感数据可以是利用遥感装置获取的遥感影像数据和遥感矢量数据。在获取原始遥感数据的过程中，还可以获取该原始遥感数据的解译类型，该解译类型用于指示需要在原始遥感数据中检测的对象的对象类型，能够表征用户确定的针对该原始遥感数据的解译方式。例如，在解译类型为建筑检测类型的情况下，可以确定需要检测的对象类型为建筑类型，解译方式为对原始遥感数据中的建筑进行解译。不同的解译类型可以对应于不同的解译模型，不同的解译类型对应于不同类型的对象。
其中，本公开实施例所提供的遥感数据解译方法可以应用于线上遥感数据解译平台，线上遥感数据解译平台设置有与多种不同的解译类型对应的解译模型。在存在解译需求的情况下，可以利用终端登录线上遥感数据解译平台对应的平台登录网址，进入线上遥感数据解译平台。其中，终端可以是任一种移动网络设备，例如，智能手机，平板电脑等。之后，用户可以在终端指定需要进行解译的原始遥感数据以及对应的解译类型。
S102、接收针对所述原始遥感数据的解译指令，生成所述原始遥感数据对应的解译任务；所述解译任务用于生成所述原始遥感数据对应的解译结果。
在一些实施例中，该解译指令可以是终端发送的对原始遥感数据进行解译的指令。解译结果为根据解译类型，对原始遥感数据进行检测，确定的存在于原始遥感数据中的各个对象。其中，如果确定存在对原始遥感数据进行解译的需求，可以由用户在终端中发起解译请求，例如，在终端对应的页面上点击“开始解译”对应的页面控件。之后，终端可以基于解译请求，生成解译指令发送给服务器。服务器可以获取到解译指令，并响应于解译指令生成对应的解译任务，基于该解译任务对原始遥感数据进行解译，得到解译结果。
S103、基于所述原始遥感数据和所述解译结果生成对应的遥感地图。
在一些实施例中，在获取到该原始遥感数据和对应的解译结果之后，可以生成对应的遥感地图，响应于终端对该遥感地图的访问请求，可以向终端发送可以呈现该原始遥感数据和解译结果的遥感地图。
在另一些实施例中，遥感地图的类型与该原始遥感数据的数据类型相关。可以通过以下方式实现上述基于所述原始遥感数据和所述解译结果生成对应的遥感地图：获取所述原始遥感数据对应的数据类型；基于所述解译结果生成至少一种目标类型的遥感地图；所述目标类型与所述数据类型对应。
在本实施例中，该原始遥感数据可以包括遥感影像数据和矢量数据；在该原始遥感数据为遥感影像数据的情况下，可以生成栅格地图；在该原始遥感数据为矢量数据的情况下，可以生成矢量瓦片地图和栅格地图。
在本公开实施例中，由于在接收到解译指令后，可以直接对获取到的原始遥感数据进 行解译并生成对应的解译结果和遥感地图，提升了遥感地图的生成效率，进而可以提升包含该遥感地图的遥感服务发布的便捷性；同时，本公开还可以基于用户需求获取需要解译的原始遥感数据并建立对应的解译任务，进而可以得到定制化的遥感地图，提升了遥感地图的多样性。
图2是本公开实施例提供的一种遥感数据处理方法的实现流程示意图，基于图1实施例，图1中的步骤S101可以包括步骤S201至S203，如图2所示，将结合图2示出的步骤进行说明。
S201、响应于数据管理请求，显示数据管理界面。
在一些实施例中，系统可以提供该数据管理界面的访问地址和/或访问接口，在接收到携带所述访问地址和/或访问接口的访问请求的情况下，判定该访问请求为数据管理请求，响应于该数据管理请求，进入该数据管理界面。
在一些实施例中，系统可以提供一个功能切换界面，该功能切换界面包括系统提供的至少一个服务功能对应的控件，其中，该至少一个服务功能对应的控件包括数据管理功能对应的控件，在接收到针对该数据管理功能对应的控件的触发操作的情况下，显示该数据管理界面。其中，该数据管理界面可以是该功能切换界面中的子界面，也可以是独立于该功能切换界面的新的界面。
S202、接收针对所述数据管理界面中入库控件的触发操作，建立入库任务。
在一些实施例中，该数据管理界面至少包括入库控件。在接收到针对该入库控件的触发操作之后，响应于该触发操作，建立入库任务。
在一些实施例中，在建立该入库任务的过程中，可以设置该入库任务的任务属性。其中，该任务属性可以包括原始遥感数据的数据地址、入库时间等。
S203、基于所述入库任务，获取所述原始遥感数据。
在一些实施例中，系统可以通过至少一个任务队列存储该入库任务，并基于预设的执行顺序，依次从该至少一个任务队列中拉取已创建的入库任务并执行，响应于该入库任务执行完成，该原始遥感数据已经被存储于数据库中。
在一些实施例中，在接收针对所述数据管理界面中入库控件的触发操作，建立入库任务之后，所述方法还可以包括：响应于建立所述入库任务，显示入库任务管理界面；所述入库任务管理界面用于显示至少一个已建立入库任务；通过所述入库任务管理界面接收针对所述至少一个已建立入库任务中的目标已建立入库任务的状态切换指令，切换所述目标已建立入库任务的任务状态。
其中，在建立该入库任务之后，可以直接显示入库任务管理界面，该入库任务管理界面显示至少一个已建立入库任务，例如，在入库任务A创建之后，该入库任务管理界面显示的至少一个已建立入库任务可以包括该已创建的入库任务A。
该入库任务管理界面在显示每一已建立入库任务的同时，还可以显示每一已建立入库任务的任务进度和任务状态。通过该入库任务管理界面显示的任务进度和任务状态可以使用户直观的确定每一原始遥感数据的入库情况。
在本实施例中，通过该入库任务管理界面可以接收针对所述至少一个已建立入库任务中的目标已建立入库任务的状态切换指令。响应于该状态切换指令，可以切换该目标已建立入库任务的任务状态。该任务状态包括启动状态、暂停状态和终止状态。
在一些实施例中，所述数据管理界面包括目录显示区域和数据显示区域；所述方法还包括：通过所述目录显示区域显示至少一个已创建目录；接收针对所述至少一个已创建目录中目标已创建目录的选择操作，在所述数据显示区域显示所述目标已创建目录中存储的已入库数据。
其中，在显示该数据管理界面的过程中，可以在该数据管理界面显示上述至少一个已创建目录，同时，在该数据显示区域中显示默认已创建目录中的已入库数据。在接收到针 对该目标已创建目录的选择操作之后，在该目标已创建目录与该默认已创建目录不同的情况下，在所述数据显示区域显示所述目标已创建目录中存储的已入库数据。
在所述数据显示区域显示所述目标已创建目录中存储的已入库数据的情况下，所述基于所述入库任务，获取所述原始遥感数据并存储于数据库中，包括：基于所述入库任务，获取所述原始遥感数据，并将所述原始遥感数据存储于所述目标已创建目录中。
在一些实施例中，所述方法还包括：通过所述数据管理界面接收目录管理操作；基于所述目录管理操作，更新所述数据库中的目录信息。其中，该目录管理操作可以包括增加目录操作、删除目录操作、修改目录操作等。
在一些实施例中，所述方法还包括：通过所述数据管理界面的数据显示区域接收已入库数据管理操作；基于所述已入库数据管理操作，对所述已入库数据进行管理。其中，该已入库数据管理操作可以包括删除已入库数据操作、修改已入库数据操作等。
在一些实施例中，该入库任务包括所述原始遥感数据对应的上传任务和所述原始遥感数据对应的预处理任务，所述建立所述数据导入操作对应的入库任务，包括：建立所述导入操作对应的上传任务；所述上传数据用于获取所述原始遥感数据对应的原始数据；建立所述预处理任务；所述预处理任务用于对所述原始数据进行预处理，得到所述原始遥感数据；所述预处理包括以下至少之一：拼接处理、匀色处理。
在本公开实施例中，由于通过建立入库任务来实现原始遥感数据的导入，可以通过管理该入库任务完成对该原始遥感数据的管理，提高了数据导入的针对性，整体上提升了数据导入效率；同时，由于通过入库任务管理界面管理已建立的入库任务，可以随时变更入库任务的任务状态；在数据管理界面可以同时完成该原始遥感数据的管理，和入库任务的管理，提升了数据管理的便捷性，可以从另一方面加快遥感数据处理效率和遥感地图的构建效率。
图3是本公开实施例提供的一种遥感数据处理方法的实现流程示意图，基于图1实施例，图1中的步骤S102可以包括步骤S301至S304，如图3所示，将结合图3示出的步骤进行说明。
S301、显示解译任务创建界面；所述解译任务创建界面包括解译模型配置区域和数据配置区域。
在一些实施例中，系统可以提供一个功能切换界面，该功能切换界面包括系统提供的至少一个服务功能对应的控件，其中，该至少一个服务功能对应的控件包括解译任务管理功能对应的控件，在接收到针对该解译任务管理功能对应的控件的触发操作的情况下，显示解译任务管理界面。其中，该解译任务管理界面可以是该功能切换界面中的子界面，也可以是独立于该功能切换界面的新的界面。该解译任务管理界面包括解译任务创建控件，在接收到针对该解译任务创建控件的触发操作之后，显示上述解译任务创建界面。
S302、响应于针对所述解译模型配置区域的配置操作，获取所述解译任务对应的解译模型。
在一些实施例中，所述解译任务创建界面还包括解译参数显示区域，所述方法还包括：响应于获取所述解译任务对应的解译模型，获取所述解译模型对应的解译参数；基于所述解译参数更新所述解译参数显示区域的显示内容。
其中，通过该解译模型配置区域可以接收针对模型库中存储的至少一个已创建模型中目标已创建模型的选择操作，将该目标已创建模型作为所述解译任务对应的解译模型。在本实施例中，该模型库中的每一已创建模型均对应该已创建模型的解译参数。在解译任务创建界面还包括解译参数显示区域的情况下，响应于获取所述解译任务对应的解译模型，获取所述解译模型对应的解译参数；基于所述解译参数更新所述解译参数显示区域的显示内容。
S303、响应于针对所述数据配置区域的配置操作，获取所述解译任务对应的原始遥感 数据。
在一些实施例中，响应于获取所述解译任务对应的解译模型，可以获取该解译模型可以解译的原始遥感数据的数据类型，基于所述数据类型，在已入库数据中筛选该数据类型对应的原始遥感数据并显示，在接收到针对显示的至少一个原始遥感数据的选择操作之后，将用户选择的至少一个原始遥感数据作为所述解译任务对应的原始遥感数据。
S304、基于所述解译任务对应的解译模型和原始遥感数据，生成所述解译任务；所述解译任务用于基于所述解译模型对所述原始遥感数据进行解译并生成对应的解译结果。
在一些实施例中，在生成所述解译任务之后，所述方法还包括：响应于生成所述原始遥感数据对应的解译任务，显示解译任务管理界面；所述解译任务管理界面用于显示至少一个已建立解译任务；通过所述解译任务管理界面接收针对所述至少一个已建立解译任务中的目标已建立解译任务的解译任务管理操作；基于所述解译任务管理操作，对所述目标已建立解译任务进行任务管理。
其中，通过所述解译任务管理界面可以接收针对所述至少一个已建立解译任务中的目标已建立解译任务的状态切换指令，切换所述目标已建立解译任务的任务状态。
其中，在建立该解译任务之后，可以直接显示解译任务管理界面，该解译任务管理界面显示至少一个已建立解译任务，例如，在解译任务A创建之后，该解译任务管理界面显示的至少一个已建立解译任务可以包括该已创建的解译任务A。
该解译任务管理界面在显示每一已建立解译任务的同时，还可以显示每一已建立解译任务的任务进度和任务状态。通过该解译任务管理界面显示的任务进度和任务状态可以使用户直观的确定每一原始遥感数据的解译情况。
在本实施例中，通过该解译任务管理界面可以接收针对所述至少一个已建立解译任务中的目标已建立解译任务的状态切换指令。响应于该状态切换指令，可以切换该目标已建立解译任务的任务状态。该任务状态包括启动状态、暂停状态和终止状态。
在本实施例中，通过该解译任务管理界面可以接收针对所述至少一个已建立解译任务中的目标已建立解译任务的删除指令。响应于该删除指令，删除该目标已建立解译任务。
在本公开实施例中，通过为每一原始遥感数据建立对应的解译任务，可以实现针对性的解译，可以减少因同时解译过多原始遥感数据导致服务器压力过大、解译进度缓慢的情况。
图4是本公开实施例提供的一种遥感数据处理方法的实现流程示意图，基于上述任一实施例，以基于图1为例，所述方法还可以包括步骤S401至S404，如图4所示，将结合图4示出的步骤进行说明。
S401、响应于模型管理请求，显示模型管理界面；所述模型管理界面包括模型导入控件。
S402、接收针对所述模型导入控件的触发操作，显示模型导入界面；所述模型导入界面包括模型配置区域和模型上传区域。
在一些实施例中，在通过该模型管理界面接收到针对该模型导入控件的触发操作之后，可以进入模型导入界面。其中，该模型导入界面可以是该模型管理界面中的子界面，也可以是独立于该模型管理界面的另一个界面。
S403、响应于针对所述模型上传区域的上传操作，获取目标模型，并响应于针对所述模型配置区域的配置操作，获取所述目标模型对应的解译参数。
其中，通过该模型管理界面可以接收针对该模型上传区域的上传操作，进而可以得到目标模型的存储信息，基于该存储信息可以获取该目标模型。例如，该存储信息可以是该目标模型的存储地址，模型标识等。
在一些实施例中，在上传该目标模型之后，可以在该模型配置区域显示该目标模型对应的初始解译参数，该初始解译参数可以是上传的目标模型的数据文件中携带的，也可以 是服务器基于该目标模型在本地数据库中调取的，本公开对此不做限定。在一些实施例中，可以通过该模型管理界面可以接收针对该模型配置区域的配置操作，进而可以得到更新后的解译参数，并将该更新后的解译参数作为该目标模型对应的解译参数。
S404、将所述目标模型和对应的解译参数作为已建立解译模型存储于数据库中。
在一些实施例中，所述模型管理界面还用于显示至少一个已建立解译模型。所述方法还包括：通过所述模型管理界面接收针对所述至少一个已建立解译模型中的目标已建立模型的模型管理操作；基于所述模型管理操作，对所述目标已建立模型进行管理。其中，该模型管理操作可以包括模型查询操作，模型删除操作，模型修改操作等。
在本公开实施例中，可以上传多样化的解译模型，在建立上述解译任务的过程中，可以为不同类型的原始遥感数据提供不同类型的解译模型，提升了解译任务的针对性和解译准确性。
图5是本公开实施例提供的一种遥感数据处理方法的实现流程示意图，基于上述任一实施例，以基于图1为例，所述方法还可以包括步骤S501至S503，如图5所示，将结合图5示出的步骤进行说明。
S501、响应于地图管理请求，显示地图管理界面；所述地图管理界面用于显示至少一个已发布地图。
S502、通过所述地图管理界面接收针对所述至少一个已发布地图中的目标已发布地图的地图管理操作。
S503、基于所述地图管理操作，对所述目标已发布地图进行地图管理。
在一些实施例中，所述地图管理操作包括地图信息查询操作，可以通过S5031至S5033实现上述基于所述地图管理操作，对所述目标已发布地图进行地图管理。
S5031、响应于所述地图信息查询操作，显示所述目标已发布地图对应的地图信息显示界面；所述地图信息显示界面包括第一显示区域和第二显示区域；
S5032、通过所述第一显示区域显示所述目标已发布地图的地图信息。
其中，所述地图信息包括以下至少之一：地址、数据源、数据源类型、地图创建时间和地图缩略图；
S5033、通过所述第二显示区域显示所述目标已发布地图的数据信息。
其中，所述数据信息包括以下至少之一：投影信息，范围，属性字段信息。
在一些实施例中，所述解译结果包括所述原始遥感数据中至少一个解译区域和每一所述解译区域对应的解译信息，所述地图管理操作包括样式配置操作，可以通过S5034至S5035实现上述所述基于所述地图管理操作，对所述目标已发布地图进行地图管理包括：
S5034、响应于所述样式配置操作，显示所述目标已发布地图对应的样式配置界面；所述样式配置界面包括每一所述解译信息对应的显示配置区域。
S5035、基于每一所述解译信息对应的显示配置区域，获取所述目标已发布地图的显示配置数据；所述显示配置数据用于确定每一所述解译信息对应的解译区域的显示效果。
其中，所述目标已发布地图对应多个时间点的原始遥感数据和解译结果，所述样式配置界面包括浏览模式配置区域；所述方法还包括：基于所述浏览模式配置区域，获取所述目标已发布地图的浏览模式配置数据；所述浏览模式配置数据用于确定所述多个时间点的遥感地图的浏览模式。
在本实施例中，所述浏览模式包括单时间点浏览模式和多时间点浏览模式中的至少一项；所述单时间点浏览模式用于响应于针对所述多个时间点中目标时间点的选择操作，在所述目标已发布地图对应的地图提供界面显示所述目标时间点对应的遥感地图；所述多时间点浏览模式用于响应于针对所述多个时间点中至少两个目标时间点的选择操作，在所述目标已发布地图对应的地图提供界面同时显示每一所述目标时间点对应的遥感地图。
其中，该单时间点浏览模式可以为用户展示当前目标时间点对应的遥感地图，便于用 户从整体上观测该目标时间点时当前地理区域各部分之间的遥感信息；该多时间点浏览模式可以同时为用户展示同一地理区域在至少两个目标时间点对应的遥感地图，便于用户从多个目标时间点观测同一地理区域的遥感信息，进而完成遥感信息的对比。
在本实施例中，所述解译结果包括至少一个解译类型的解译子结果，所述样式配置界面包括统计配置区域；所述方法还包括：基于所述统计配置区域，获取针对所述至少一个解译类型中目标解译类型的选择操作；接收针对所述目标解译类型的统计配置操作，确定所述目标解译类型对应的统计模型；所述统计模型用于确定所述目标解译类型的解译子结果在所述多个时间点中的变化情况。
其中，该解译类型为对原始遥感数据进行解译得到的对象的类型。例如，该解译类型可以包括建筑物类型、绿化类型等。该统计模型用于通过统计图展示该目标解译类型在不同时间点中的统计信息的变化情况，该统计图可以是折线图、柱状图、散点图等，统计信息可以为比例信息、总量信息等。
示例性的，可以通过该统计配置区域可以接收针对该建筑物类型的选择操作，该地图提供界面可以展示该建筑物类型对应的分布区域，同时，若该建筑物类型对应的统计模型为通过折线图展示建筑物类型的区域占比，则可以通过折线图显示该地理区域在不同时间点中建筑物区域占比的变化情况。
在一些实施例中，所述地图管理操作包括地图预览操作，可以通过S5036至S5037实现上述基于所述地图管理操作，对所述目标已发布地图进行地图管理。
S5036、响应于所述地图预览操作，显示所述目标已发布地图对应的地图预览界面；所述地图预览界面用于显示基于所述原始遥感数据和所述解译结果渲染后的遥感地图。
S5037、通过所述地图预览界面接收针对所述遥感地图的浏览操作，刷新所述遥感地图的显示状态。
在本实施例中，该浏览操作可以包括以下操作中的至少之一：平移操作、放大操作、缩小操作等。
通过上述实施例，可以对遥感地图的样式进行编辑，可以基于用户的个性化需求，提供个性化的遥感地图，进而可以使用户更加直观的从遥感地图中获取必要的信息，减少对服务器的访问次数，降低了服务器的访问压力。
下面，将说明本申请实施例在一个实际的应用场景中的示例性应用。
深度学习技术的突飞猛进，给传统的遥感数据解译带来了更多选择，“遥感+人工智能”的解译方式不仅极大提升了处理效率，同时，伴随着遥感技术越来越多的应用方向，本公开实施例提供了一种管理系统，该系统不仅可以可视化的管理遥感原始数据和解译数据，且可基于针对性的业务需求定制化生成解译任务，还能够基于用户需求定制化导出解译结果，并实现对解译结果的统计分析。以下将对该可视化管理系统进行说明。
在一些实施例中，该系统可以包括遥感监测部分和信息服务部分，其中，该遥感监测部分被配置为管理遥感数据，该信息服务部分被配置为基于遥感数据提供遥感地图。
在一些实施例中，该遥感监测部分可以包括数据预处理子部分、模型管理子部分、数据管理子部分和智能解译子部分。
该数据预处理子部分可以被配置为将原始遥感数据入库到系统，并进行必要的预处理操作。其中，该预处理操作可以包括以下至少之一：自动拼接、自动匀色。在一些实施例中，该数据预处理子部分还可以将原始遥感数据对应的解译成果，按照指定的要求进行裁剪。
请参阅图6，其示出了本公开实施例提供的一种可选的预处理任务管理界面，其中，该预处理任务管理界面A10包括预处理任务展示区域A11，该预处理任务展示区域A11用于显示了至少一个已建立的预处理任务。
其中，该已建立预处理任务可以包括任务状态为已完成的第一预处理任务A111，每一 第一预处理任务A111均对应至少一个操作控件，该操作控件包括预览控件A112和删除控件A113。用户可以通过作用于该预览控件A112，以展示经过该第一预处理任务A111对应的处理结果，或是可以通过作用于该删除控件A113，以删除经过该第一预处理任务A111对应的处理结果。
其中，该已建立预处理任务还可以包括任务状态为未完成的第二预处理任务A114，每一第二预处理任务A114均对应进度控件A115，该进度控件A115用于展示该第二预处理任务A114的任务执行进度，可通过动态变化的进度条等展现形式进行展示，在此对于展示形式不予限定。
该模型管理子部分可以被配置为管理系统将要使用到的各类模型，用户可以上传模型到系统中，并配置这些模型的基本属性，相应地，用户也可以根据实际需求删除模型。
请参阅图7，其示出了本公开实施例提供的一种可选的模型管理界面，其中，该模型管理界面B10包括模型上传控件B11和模型配置区域B12。
通过该模型上传控件B11可以接收用户上传的模型文件。其中，该模型文件的上传过程可以包括：接收针对该模型上传控件B11的触发操作，进入文件子界面；通过该文件子界面接收所述模型文件的存储信息，基于所述存储信息获取所述模型文件。该存储信息可以是该模型文件的存储地址，文件标识等。
该模型配置区域B12可以包括至少一个解译参数的配置子区域，如图7所示，该模型配置区域B12中的解译参数包括模型名称、影像分辨率、影像位深、影像波段数、影像波段信息、背景像素值、模型类别等。
该模型管理界面B10还包括模型保存控件B13。在一些实施例中，可以响应于针对模型保存控件B13的触发事件，基于预设的校验规则对获取的模型文件和/或解译参数进行格式校验，并在格式校验成功的情况下，将模型文件和/或解译参数作为所述解译模型存储于模型库中。
该遥感解译子部分可以被配置为基于上传的模型对入库的遥感数据进行解译。遥感解译子部分还可以被配置为对解译任务进行管理。其中，该遥感解译子部分可以基于用户操作，实现解译任务的建立、删除等管理操作；该遥感解译子部分还可以被配置为配置每一解译任务的解译参数。其中，该解译参数可以包括以下至少之一：解译对象参数、解译模型参数和模型配置参数；该解译对象参数可以用于确定该解译任务需要解译的原始遥感数据，例如，可以为原始遥感数据的文件名、存储地址等；该解译模型参数用于确定当前解译任务对应的解译模型；该模型配置参数可以用于确定当前解译模型对应的解译参数。
其中，该遥感解译子部分可以通过可视化界面展示已建立的解译任务。例如，可以通过任务管理界面展示已建立的至少一个解译任务，同时，还可以通过该任务管理界面接收针对至少一个解译任务中目标解译任务的选择操作，展示该目标解译任务的任务状态，该任务状态可以包括该目标解译任务的任务进度、遥感数据信息、解译成果信息等。还可以通过该任务管理界面接收针对所述目标解译任务的状态变更请求，该状态变更请求用于切换该目标解译任务的任务状态，即可以在启动状态和暂停状态等至少两个任务状态中进行切换。
在一些实施例中，在用户创建解译任务的过程中，可以先选择该解译任务对应的解译模型。例如，该解译模型可以但不限于是建筑物模型、建筑物变化模型、绿地模型等，并可以根据用户的需要，扩展不同的解译模型。可以通过模型配置界面确定用户选择的解译模型，选择需要解译的原始遥感数据，启动该解译任务，并显示任务管理页面。
请参阅图8，其示出了本公开实施例提供的一种可选的模型配置界面，其中，该模型配置界面C10包括模型选择区域C11和参数展示区域C12。通过该模型选择区域C11确定用户选择的解译模型，响应于获取到解译模型，在该参数展示区域C12展示该解译模型对应的解译参数。其中，该解译参数包括但不限于是模型名称、影像分辨率、影像位深、影 像波段数、影像波段信息、背景像素值、模型类别等。
该数据管理子部分可以被配置为管理系统中的遥感数据，该遥感数据包括上述入库的未被处理的原始遥感数据，也可以包括原始遥感数据经过解译模型解译后的解译成果。在一些实施例中，该数据管理子部分中预设的管理操作可以包括删除、修改名称和属性信息，建立目录，管理目录等。
请参阅图9，其示出了本公开实施例提供的一种可选的数据管理界面，其中，该数据管理界面D10包括目录选择区域D11和数据展示区域D12，其中，该目录选择区域D11用于显示系统中的至少一个存储目录，响应于针对所述至少一个存储目录中目标存储目录的选择操作，在该数据展示区域D12展示该目标存储目录中存储的数据。
请参见图10，图10是本公开实施例提供的原始遥感数据管理方法的一个可选的流程示意图，将结合图10示出的步骤进行说明。
S1001、选择原始遥感数据的数据类型。
其中，该原始遥感数据的数据类型可以但不限于是影像数据、矢量数据、元数据和其他数据。
S1002、接收针对该原始遥感数据的上传指令。
其中，在该上传指令用于表征允许上传该原始遥感数据的情况下，执行步骤S1003；在该上传指令用于表征不允许上传该原始遥感数据的情况下，执行步骤S1004。
S1003、建立并执行该原始遥感数据的上传任务，获取该上传任务的任务进度。
其中，在接收到针对该上传任务的任务状态切换指令后，响应于该任务状态切换指令，执行步骤S1005，在启动状态和暂停状态之间进行切换。
其中，在接收到针对该上传任务的任务取消指令之后，响应于该任务取消指令，执行步骤S1006，取消该上传任务，并执行步骤S1004。
S1007、对原始遥感数据进行管理。
其中，可以接收针对该原始遥感数据的管理指令，响应于所述管理指令，对该原始遥感数据进行管理。该管理指令可以包括以下至少之一：数据浏览指令、数据编辑指令、数据删除指令和数据检索指令。
请参见图11，图11是本公开实施例提供的地图发布方法的一个可选的流程示意图，将结合图11示出的步骤进行说明。
S1101、选择原始遥感数据的数据类型。
其中，该原始遥感数据的数据类型可以但不限于是影像数据、矢量数据、元数据和其他数据。
S1102、接收针对该原始遥感数据的地图创建指令。
其中，该地图创建指令至少用于确定遥感地图对应的数据源和地图名称。在该原始遥感数据为影像数据的情况下，该地图创建指令用于确定遥感地图对应的数据源和地图名称；在该原始遥感数据为矢量数据的情况下，该地图创建指令用于确定遥感地图对应的数据源、地图名称和地图样式。
S1103、响应于该地图创建指令，创建对应的遥感地图。
S1104、对遥感地图进行管理。
在一些实施例中，上述对遥感地图进行管理可以包括：地图发布、地图管理地图预览和地图样式配置。其中，地图发布：系统支持两种数据的地图发布功能，可将遥感影像数据发布成栅格地图。而矢量数据可发布为矢量瓦片地图和栅格地图两种模式。地图被发布后可以进行删除及修改操作，也可以控制地图的状态，暂停或启动这些地图的服务状态。地图管理地图预览：发布后的地图可在系统中预览地图效果，同时还可以进行通用的地图浏览操作，包括平移、放大、缩小等。地图样式配置：地图可通过系统进行样式配置，并设置为地图使用方使用地图时的默认显示样式。
在一些实施场景中，上述系统可以用于建筑物违建监管的场景中，针对建筑物(是否违建)变化情况，用户可以为每个变化情况设置分类标签(高度疑似、一般疑似、不是违建)及其他备注内容。在标注完成后，用户可浏览全部的遥感影像及违建情报数据，包括历史上任意一个时间点(解译并配置过的)的情况，并且能看到各个时间点违建数量统计结果，还能够以直观的折线图的方式查看各时间点之间的违建变化程度。除了单独浏览一个时间点的模式外，系统还支持同时浏览两个时间点的数据，包括卷帘及分屏两个模式。在单时间节点浏览模式中，用户可以列表方式获取该时间节点中的所有违建情报，并以翻阅(点选或键盘上下键)的形式挨个查看违建情报。
在一些实施场景中，上述系统可以用于绿化监管的场景中，针对绿地解译结果，用户可浏览全部的市容绿化分布情况数据，包括历史上任意一个时间点(解译并配置过的)的情况，并且能看到各个时间点绿化面积、绿化率，还能够以直观的折线图的方式查看各时间点之间的绿化面积、绿化率的变化程度。用户还可以只显示卫星影像或让卫星影像及市容绿化分布情况一同显示。除了单独浏览一个时间点的模式外，系统还支持同时浏览两个时间点的数据，包括卷帘及分屏两个模式。系统支持用户动态配置市容绿化情况中各类地物的显示样式，用户可以按照自己的喜好配置每类地物的边线、填充样式，配置后将实时显示在地图上，并能够被系统自动记录下来，方便下一次浏览。
图12为本公开实施例提供的一种遥感数据处理装置的组成结构示意图，如图12所示，遥感数据处理装置1200包括：
获取部分1201，被配置为获取原始遥感数据；
解译部分1202，被配置为接收针对所述原始遥感数据的解译指令，生成所述原始遥感数据对应的解译任务；所述解译任务用于生成所述原始遥感数据对应的解译结果；
生成部分1203，被配置为基于所述原始遥感数据和所述解译结果生成对应的遥感地图。
在一些实施例中，所述获取部分1201，还被配置为响应于数据管理请求，显示数据管理界面；接收针对所述数据管理界面中入库控件的触发操作，建立入库任务；基于所述入库任务，获取所述原始遥感数据。
在一些实施例中，所述获取部分1201，还被配置为响应于建立所述入库任务，显示入库任务管理界面；所述入库任务管理界面用于显示至少一个已建立入库任务；通过所述入库任务管理界面接收针对所述至少一个已建立入库任务中的目标已建立入库任务的状态切换指令，切换所述目标已建立入库任务的任务状态。
在一些实施例中，所述数据管理界面包括目录显示区域和数据显示区域；所述获取部分1201，还被配置为通过所述目录显示区域显示至少一个已创建目录；接收针对所述至少一个已创建目录中目标已创建目录的选择操作，在所述数据显示区域显示所述目标已创建目录中存储的已入库数据。
在一些实施例中，所述解译部分1202，还被配置为显示解译任务创建界面；所述解译任务创建界面包括解译模型配置区域和数据配置区域；响应于针对所述解译模型配置区域的配置操作，获取所述解译任务对应的解译模型；响应于针对所述数据配置区域的配置操作，获取所述解译任务对应的原始遥感数据；基于所述解译任务对应的解译模型和原始遥感数据，生成所述解译任务；所述解译任务用于基于所述解译模型对所述原始遥感数据进行解译并生成对应的解译结果。
在一些实施例中，所述解译任务创建界面还包括解译参数显示区域，所述解译部分1202，还被配置为响应于获取所述解译任务对应的解译模型，获取所述解译模型对应的解译参数；基于所述解译参数更新所述解译参数显示区域的显示内容。
在一些实施例中，所述解译部分1202，还被配置为响应于生成所述原始遥感数据对应的解译任务，显示解译任务管理界面；所述解译任务管理界面用于显示至少一个已建立解译任务；通过所述解译任务管理界面接收针对所述至少一个已建立解译任务中的目标已建 立解译任务的解译任务管理操作；基于所述解译任务管理操作，对所述目标已建立解译任务进行任务管理。
在一些实施例中，所述解译部分1202，还被配置为响应于模型管理请求，显示模型管理界面；所述模型管理界面包括模型导入控件；接收针对所述模型导入控件的触发操作，显示模型导入界面；所述模型导入界面包括模型配置区域和模型上传区域；响应于针对所述模型上传区域的上传操作，获取目标模型，并响应于针对所述模型配置区域的配置操作，获取所述目标模型对应的解译参数；将所述目标模型和对应的解译参数作为已建立解译模型存储于数据库中。
在一些实施例中，所述模型管理界面还用于显示至少一个已建立解译模型：所述解译部分1202，还被配置为通过所述模型管理界面接收针对所述至少一个已建立解译模型中的目标已建立模型的模型管理操作；基于所述模型管理操作，对所述目标已建立模型进行管理。
在一些实施例中，所述生成部分1203，还被配置为获取所述原始遥感数据对应的数据类型；基于所述解译结果生成至少一种目标类型的遥感地图；所述目标类型与所述数据类型对应。
在一些实施例中，所述生成部分1203，还被配置为响应于地图管理请求，显示地图管理界面；所述地图管理界面用于显示至少一个已发布地图；通过所述地图管理界面接收针对所述至少一个已发布地图中的目标已发布地图的地图管理操作；基于所述地图管理操作，对所述目标已发布地图进行管理。
在一些实施例中，所述地图管理操作包括地图信息查询操作，所述生成部分1203，还被配置为响应于所述地图信息查询操作，显示所述目标已发布地图对应的地图信息显示界面；所述地图信息显示界面包括第一显示区域和第二显示区域；通过所述第一显示区域显示所述目标已发布地图的地图信息；所述地图信息包括以下至少之一：地址、数据源、数据源类型、地图创建时间和地图缩略图；通过所述第二显示区域显示所述目标已发布地图的数据信息；所述数据信息包括以下至少之一：投影信息，范围，属性字段信息。
在一些实施例中，所述解译结果包括所述原始遥感数据中至少一个解译区域和每一所述解译区域对应的解译信息；所述地图管理操作包括样式配置操作，所述生成部分1203，还被配置为响应于所述样式配置操作，显示所述目标已发布地图对应的样式配置界面；所述样式配置界面包括每一所述解译信息对应的显示配置区域；基于每一所述解译信息对应的显示配置区域，获取所述目标已发布地图的显示配置数据；所述显示配置数据用于确定每一所述解译信息对应的解译区域的显示效果。
在一些实施例中，所述目标已发布地图对应多个时间点的原始遥感数据和解译结果，所述样式配置界面包括浏览模式配置区域；所述生成部分1203，还被配置为基于所述浏览模式配置区域，获取所述目标已发布地图的浏览模式配置数据；所述浏览模式配置数据用于确定所述多个时间点的遥感地图的浏览模式；其中，所述浏览模式包括单时间点浏览模式和多时间点浏览模式中的至少一项；所述单时间点浏览模式用于响应于针对所述多个时间点中目标时间点的选择操作，在所述目标已发布地图对应的地图提供界面显示所述目标时间点对应的遥感地图；所述多时间点浏览模式用于响应于针对所述多个时间点中至少两个目标时间点的选择操作，在所述目标已发布地图对应的地图提供界面同时显示每一所述目标时间点对应的遥感地图。
在一些实施例中，所述解译结果包括至少一个解译类型的解译子结果，所述样式配置界面包括统计配置区域；所述生成部分1203，还被配置为基于所述统计配置区域，获取针对所述至少一个解译类型中目标解译类型的选择操作；接收针对所述目标解译类型的统计配置操作，确定所述目标解译类型对应的统计模型；所述统计模型用于确定所述目标解译类型的解译子结果在所述多个时间点中的变化情况。
在一些实施例中，所述地图管理操作包括地图预览操作，所述生成部分1203，还被配置为响应于所述地图预览操作，显示所述目标已发布地图对应的地图预览界面；所述地图预览界面用于显示基于所述原始遥感数据和所述解译结果渲染后的遥感地图；通过所述地图预览界面接收针对所述遥感地图的浏览操作，刷新所述遥感地图的显示状态。
以上装置实施例的描述，与上述方法实施例的描述是类似的，具有同方法实施例相似的有益效果。对于本公开装置实施例中未披露的技术细节，请参照本公开方法实施例的描述而理解。
需要说明的是，本公开实施例中，如果以软件功能部分的形式实现上述的遥感数据处理方法，并作为独立的产品销售或使用时，也可以存储在一个计算机可读取存储介质中。基于这样的理解，本公开实施例的技术方案本质上或者说对相关技术做出贡献的部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质中，包括若干指令用以使得一台设备执行本公开各个实施例方法的全部或部分。而前述的存储介质包括：U盘、移动硬盘、只读存储器(Read Only Memory，ROM)、磁碟或者光盘等各种可以存储程序代码的介质。这样，本公开实施例不限制于任何目标的硬件和软件结合。
图13为本公开实施例提供的一种遥感数据处理设备的硬件实体示意图，如图13所示，该遥感数据处理设备1300的硬件实体包括：处理器1301和存储器1302，其中，存储器1302存储有可在处理器1301上运行的计算机程序，处理器1301执行程序时实现上述任一实施例的方法中的步骤。
存储器1302存储有可在处理器上运行的计算机程序，存储器1302配置为存储由处理器1301可执行的指令和应用，还可以缓存待处理器1301以及遥感数据处理设备1300中各部分待处理或已经处理的数据(例如，图像数据、音频数据、语音通信数据和视频通信数据)，可以通过闪存(FLASH)或随机访问存储器(Random Access Memory，RAM)实现。
处理器1301执行程序时实现上述任一实施例的方法中的步骤。处理器1301通常控制遥感数据处理设备1300的总体操作。
本公开实施例提供一种计算机存储介质，计算机存储介质存储有一个或者多个程序，该一个或者多个程序可被一个或者多个处理器执行，以实现如上任一实施例的遥感数据处理方法的步骤。
本公开实施例提供一种计算机程序产品，所述计算机程序产品包括存储了计算机程序的非瞬时性计算机可读存储介质，在所述计算机程序被计算机读取并执行的情况下，实现上任一实施例的遥感数据处理方法的步骤。
这里需要指出的是：以上存储介质、计算机程序产品和设备实施例的描述，与上述方法实施例的描述是类似的，具有同方法实施例相似的有益效果。对于本公开存储介质、计算机程序产品和设备实施例中未披露的技术细节，请参照本公开方法实施例的描述而理解。
上述处理器可以为目标用途集成电路(Application Specific Integrated Circuit，ASIC)、数字信号处理器(Digital Signal Processor，DSP)、数字信号处理装置(Digital Signal Processing Device，DSPD)、可编程逻辑装置(Programmable Logic Device，PLD)、现场可编程门阵列(Field Programmable Gate Array，FPGA)、中央处理器(Central Processing Unit，CPU)、控制器、微控制器、微处理器中的至少一种。可以理解地，实现上述处理器功能的电子器件还可以为其它，本公开实施例不作限定。
上述计算机存储介质/存储器可以是只读存储器(Read Only Memory，ROM)、可编程只读存储器(Programmable Read-Only Memory，PROM)、可擦除可编程只读存储器(Erasable Programmable Read-Only Memory，EPROM)、电可擦除可编程只读存储器(Electrically Erasable Programmable Read-Only Memory，EEPROM)、磁性随机存取存储器(Ferromagnetic Random Access Memory，FRAM)、快闪存储器(Flash Memory)、磁表面 存储器、光盘、或只读光盘(Compact Disc Read-Only Memory，CD-ROM)等存储器；也可以是包括上述存储器之一或任意组合的各种终端，如移动电话、计算机、平板设备、个人数字助理等。
应理解，说明书通篇中提到的“一个实施例”或“一实施例”或“本公开实施例”或“前述实施例”或“一些实施例”意味着与实施例有关的目标特征、结构或特性包括在本公开的至少一个实施例中。因此，在整个说明书各处出现的“在一个实施例中”或“在一实施例中”或“本公开实施例”或“前述实施例”或“一些实施例”未必一定指相同的实施例。此外，这些目标的特征、结构或特性可以任意适合的方式结合在一个或多个实施例中。应理解，在本公开的各种实施例中，上述各过程的序号的大小并不意味着执行顺序的先后，各过程的执行顺序应以其功能和内在逻辑确定，而不应对本公开实施例的实施过程构成任何限定。上述本公开实施例序号为了描述，不代表实施例的优劣。
在未做特殊说明的情况下，遥感数据处理设备执行本公开实施例中的任一步骤，可以是遥感数据处理设备的处理器执行该步骤。除非特殊说明，本公开实施例并不限定遥感数据处理设备执行下述步骤的先后顺序。另外，不同实施例中对数据进行处理所采用的方式可以是相同的方法或不同的方法。还需说明的是，本公开实施例中的任一步骤是遥感数据处理设备可以独立执行的，即遥感数据处理设备执行上述实施例中的任一步骤时，可以不依赖于其它步骤的执行。
在本公开所提供的几个实施例中，应该理解到，所揭露的设备和方法，可以通过其它的方式实现。以上所描述的设备实施例是示意性的，例如，所述部分的划分，为一种逻辑功能划分，实际实现时可以有另外的划分方式，如：多个部分或组件可以结合，或可以集成到另一个系统，或一些特征可以忽略，或不执行。另外，所显示或讨论的各组成部分相互之间的耦合、或直接耦合、或通信连接可以是通过一些接口，设备或部分的间接耦合或通信连接，可以是电性的、机械的或其它形式的。
上述作为分离部件说明的部分可以是、或也可以不是物理上分开的，作为部分显示的部件可以是、或也可以不是物理部分；既可以位于一个地方，也可以分布到多个网络部分上；可以根据实际的需要选择其中的部分或全部部分来实现本实施例方案的目的。
另外，在本公开各实施例中的各功能部分可以全部集成在一个处理部分中，也可以是各部分分别单独作为一个部分，也可以两个或两个以上部分集成在一个部分中；上述集成的部分既可以采用硬件的形式实现，也可以采用硬件加软件功能部分的形式实现。
本公开所提供的几个方法实施例中所揭露的方法，在不冲突的情况下可以任意组合，得到新的方法实施例。
本公开所提供的几个产品实施例中所揭露的特征，在不冲突的情况下可以任意组合，得到新的产品实施例。
本公开所提供的几个方法或设备实施例中所揭露的特征，在不冲突的情况下可以任意组合，得到新的方法实施例或设备实施例。
本领域普通技术人员可以理解：实现上述方法实施例的全部或部分步骤可以通过程序指令相关的硬件来完成，前述的程序可以存储于计算机可读取存储介质中，该程序在执行时，执行包括上述方法实施例的步骤；而前述的存储介质包括：移动存储设备、只读存储器(Read Only Memory，ROM)、磁碟或者光盘等各种可以存储程序代码的介质。
或者，本公开上述集成的部分如果以软件功能部分的形式实现并作为独立的产品销售或使用时，也可以存储在一个计算机可读取存储介质中。基于这样的理解，本公开实施例的技术方案本质上或者说对相关技术做出贡献的部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质中，包括若干指令用以使得一台计算机设备(可以是个人计算机、检测设备、或者网络设备等)执行本公开各个实施例所述方法的全部或部分。而前述的存储介质包括：移动存储设备、ROM、磁碟或者光盘等各种可以存储程序代码的 介质。
在本公开实施例中，不同实施例中相同步骤和相同内容的说明，可以互相参照。在本公开实施例中，术语“并”不对步骤的先后顺序造成影响。
以上所述，仅为本公开的实施方式，但本公开的保护范围并不局限于此，任何熟悉本技术领域的技术人员在本公开揭露的技术范围内，可轻易想到变化或替换，都应涵盖在本公开的保护范围之内。因此，本公开的保护范围应以所述权利要求的保护范围为准。
工业实用性
本公开实施例公开了一种遥感数据处理方法、装置、设备及存储介质，其中，该方法包括：获取原始遥感数据；接收针对所述原始遥感数据的解译指令，生成所述原始遥感数据对应的解译任务；所述解译任务用于生成所述原始遥感数据对应的解译结果；基于所述原始遥感数据和所述解译结果生成对应的遥感地图。本公开实施例中，由于在接收到解译指令后，可以直接对获取到的原始遥感数据进行解译并生成对应的解译结果和遥感地图，提升了遥感地图的生成效率，进而可以提升包含该遥感地图的遥感服务发布的便捷性；同时，本公开还可以基于用户需求获取需要解译的原始遥感数据并建立对应的解译任务，进而可以得到定制化的遥感地图，提升了遥感地图的多样性。

Claims (20)

  1. 一种遥感数据处理方法，应用于电子设备中，所述方法包括：
    获取原始遥感数据；
    接收针对所述原始遥感数据的解译指令，生成所述原始遥感数据对应的解译任务；所述解译任务用于生成所述原始遥感数据对应的解译结果；
    基于所述原始遥感数据和所述解译结果生成对应的遥感地图。
  2. 根据权利要求1所述的方法，其中，所述获取原始遥感数据，包括：
    响应于数据管理请求，显示数据管理界面；
    接收针对所述数据管理界面中入库控件的触发操作，建立入库任务；
    基于所述入库任务，获取所述原始遥感数据。
  3. 根据权利要求2所述的方法，其中，所述方法还包括：
    响应于建立所述入库任务，显示入库任务管理界面；所述入库任务管理界面用于显示至少一个已建立入库任务；
    通过所述入库任务管理界面接收针对所述至少一个已建立入库任务中的目标已建立入库任务的状态切换指令，切换所述目标已建立入库任务的任务状态。
  4. 根据权利要求2或3所述的方法，其中，所述数据管理界面包括目录显示区域和数据显示区域；所述方法还包括：
    通过所述目录显示区域显示至少一个已创建目录；
    接收针对所述至少一个已创建目录中目标已创建目录的选择操作，在所述数据显示区域显示所述目标已创建目录中存储的已入库数据。
  5. 根据权利要求1至4任一项所述的方法，其中，所述接收针对所述原始遥感数据的解译指令，生成所述原始遥感数据对应的解译任务，包括：
    显示解译任务创建界面；所述解译任务创建界面包括解译模型配置区域和数据配置区域；
    响应于针对所述解译模型配置区域的配置操作，获取所述解译任务对应的解译模型；
    响应于针对所述数据配置区域的配置操作，获取所述解译任务对应的原始遥感数据；
    基于所述解译任务对应的解译模型和原始遥感数据，生成所述解译任务；所述解译任务用于基于所述解译模型对所述原始遥感数据进行解译并生成对应的解译结果。
  6. 根据权利要求5所述的方法，其中，所述解译任务创建界面还包括解译参数显示区域，所述方法还包括：
    响应于获取所述解译任务对应的解译模型，获取所述解译模型对应的解译参数；
    基于所述解译参数更新所述解译参数显示区域的显示内容。
  7. 根据权利要求5或6所述的方法，其中，所述方法还包括：
    响应于生成所述原始遥感数据对应的解译任务，显示解译任务管理界面；所述解译任务管理界面用于显示至少一个已建立解译任务；
    通过所述解译任务管理界面接收针对所述至少一个已建立解译任务中的目标已建立解译任务的解译任务管理操作；
    基于所述解译任务管理操作，对所述目标已建立解译任务进行任务管理。
  8. 根据权利要求5至7任一项所述的方法，其中，所述方法还包括：
    响应于模型管理请求，显示模型管理界面；所述模型管理界面包括模型导入控件；
    接收针对所述模型导入控件的触发操作，显示模型导入界面；所述模型导入界面包括模型配置区域和模型上传区域；
    响应于针对所述模型上传区域的上传操作，获取目标模型，并响应于针对所述模型配置区域的配置操作，获取所述目标模型对应的解译参数；
    将所述目标模型和对应的解译参数作为已建立解译模型存储于数据库中。
  9. 根据权利要求8所述的方法，其中，所述模型管理界面还用于显示至少一个已建立解译模型：所述方法还包括：
    通过所述模型管理界面接收针对所述至少一个已建立解译模型中的目标已建立模型的模型管理操作；
    基于所述模型管理操作，对所述目标已建立模型进行管理。
  10. 根据权利要求1至9任一项所述的方法，其中，所述基于所述原始遥感数据和所述解译结果生成对应的遥感地图，包括：
    获取所述原始遥感数据对应的数据类型；
    基于所述解译结果生成至少一种目标类型的遥感地图；所述目标类型与所述数据类型对应。
  11. 根据权利要求1至10任一项所述的方法，其中，所述方法还包括：
    响应于地图管理请求，显示地图管理界面；所述地图管理界面用于显示至少一个已发布地图；
    通过所述地图管理界面接收针对所述至少一个已发布地图中的目标已发布地图的地图管理操作；
    基于所述地图管理操作，对所述目标已发布地图进行管理。
  12. 根据权利要求11所述的方法，其中，所述地图管理操作包括地图信息查询操作，所述基于所述地图管理操作，对所述目标已发布地图进行管理，包括：
    响应于所述地图信息查询操作，显示所述目标已发布地图对应的地图信息显示界面；所述地图信息显示界面包括第一显示区域和第二显示区域；
    通过所述第一显示区域显示所述目标已发布地图的地图信息；所述地图信息包括以下至少之一：地址、数据源、数据源类型、地图创建时间和地图缩略图；
    通过所述第二显示区域显示所述目标已发布地图的数据信息；所述数据信息包括以下至少之一：投影信息，范围，属性字段信息。
  13. 根据权利要求11或12所述的方法，其中，所述解译结果包括所述原始遥感数据中至少一个解译区域和每一所述解译区域对应的解译信息；所述地图管理操作包括样式配置操作，所述基于所述地图管理操作，对所述目标已发布地图进行管理包括：
    响应于所述样式配置操作，显示所述目标已发布地图对应的样式配置界面；所述样式配置界面包括每一所述解译信息对应的显示配置区域；
    基于每一所述解译信息对应的显示配置区域，获取所述目标已发布地图的显示配置数据；所述显示配置数据用于确定每一所述解译信息对应的解译区域的显示效果。
  14. 根据权利要求13所述的方法，其中，所述目标已发布地图对应多个时间点的原始遥感数据和解译结果，所述样式配置界面包括浏览模式配置区域；所述方法还包括：
    基于所述浏览模式配置区域，获取所述目标已发布地图的浏览模式配置数据；所述浏览模式配置数据用于确定所述多个时间点的遥感地图的浏览模式；
    其中，所述浏览模式包括单时间点浏览模式和多时间点浏览模式中的至少一项；所述单时间点浏览模式用于响应于针对所述多个时间点中目标时间点的选择操作，在所述目标已发布地图对应的地图提供界面显示所述目标时间点对应的遥感地图；所述多时间点浏览模式用于响应于针对所述多个时间点中至少两个目标时间点的选择操作，在所述目标已发布地图对应的地图提供界面同时显示每一所述目标时间点对应的遥感地图。
  15. 根据权利要求14所述的方法，其中，所述解译结果包括至少一个解译类型的解译子结果，所述样式配置界面包括统计配置区域；所述方法还包括：
    基于所述统计配置区域，获取针对所述至少一个解译类型中目标解译类型的选择操作；
    接收针对所述目标解译类型的统计配置操作，确定所述目标解译类型对应的统计模型； 所述统计模型用于确定所述目标解译类型的解译子结果在所述多个时间点中的变化情况。
  16. 根据权利要求11至15任一项所述的方法，其中，所述地图管理操作包括地图预览操作，所述基于所述地图管理操作，对所述目标已发布地图进行管理包括：
    响应于所述地图预览操作，显示所述目标已发布地图对应的地图预览界面；所述地图预览界面用于显示基于所述原始遥感数据和所述解译结果渲染后的遥感地图；
    通过所述地图预览界面接收针对所述遥感地图的浏览操作，刷新所述遥感地图的显示状态。
  17. 一种遥感数据处理装置，所述装置包括：
    获取部分，被配置为获取原始遥感数据；
    解译部分，被配置为接收针对所述原始遥感数据的解译指令，生成所述原始遥感数据对应的解译任务；所述解译任务用于生成所述原始遥感数据对应的解译结果；
    生成部分，被配置为基于所述原始遥感数据和所述解译结果生成对应的遥感地图。
  18. 一种电子设备，包括：
    存储器，用于存储可执行计算机程序；
    处理器，用于在执行所述存储器中存储的可执行计算机程序的情况下，实现权利要求1至16中任一项所述的方法。
  19. 一种计算机可读存储介质，其上存储有计算机程序，在所述计算机程序被处理器执行的情况下，实现权利要求1至16中任一项所述的方法。
  20. 一种计算机程序产品，所述计算机程序产品包括存储了计算机程序的非瞬时性计算机可读存储介质，在所述计算机程序被计算机读取并执行的情况下，实现权利要求1至16任一项所述方法。
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CN117221336A (zh) * 2023-11-08 2023-12-12 江西省水利科学院(江西省大坝安全管理中心、江西省水资源管理中心) 一种遥感影像发布方法及系统
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