CN114417034A

CN114417034A - Remote sensing data processing method, device, equipment and storage medium

Info

Publication number: CN114417034A
Application number: CN202210060338.0A
Authority: CN
Inventors: 严冰
Original assignee: Shanghai Sensetime Intelligent Technology Co Ltd
Current assignee: Shanghai Sensetime Intelligent Technology Co Ltd
Priority date: 2022-01-19
Filing date: 2022-01-19
Publication date: 2022-04-29
Also published as: WO2023138029A1

Abstract

The embodiment of the disclosure discloses a method, a device, equipment and a storage medium for processing remote sensing data, wherein the method comprises the following steps: acquiring original remote sensing data; receiving an interpretation instruction aiming at the original remote sensing data, and generating an interpretation task corresponding to the original remote sensing data; the interpretation task is used for generating 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.

Description

Remote sensing data processing method, device, equipment and storage medium

Technical Field

The embodiment of the disclosure relates to the field of remote sensing, in particular to a method, a device, equipment and a storage medium for processing remote sensing data.

Background

In order to obtain the region characteristics of the region corresponding to the captured original remote sensing data (image data/vector data), the original remote sensing data needs to be input into interpretation software, and the interpretation software is used to perform interpretation processing on the original remote sensing data to obtain an interpretation result capable of reflecting the region characteristics. It can be seen that the existing interpretation software has a single function, and cannot generate a targeted remote sensing map according to the actual needs of users.

Disclosure of Invention

The embodiment of the disclosure provides a method, a device, equipment and a storage medium for processing remote sensing data.

In a first aspect, a method for processing remote sensing data is provided, the method comprising:

acquiring original remote sensing data;

receiving an interpretation instruction aiming at the original remote sensing data, and generating an interpretation task corresponding to the original remote sensing data; the interpretation task is used for generating 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.

In some embodiments, the obtaining raw remote sensing data comprises:

responding to the data management request, and displaying a data management interface;

receiving triggering operation aiming at the warehousing control in the data management interface, and establishing a warehousing task;

and acquiring the original remote sensing data based on the warehousing task.

In some embodiments, the method further comprises:

responding to the establishment of the warehousing task, and displaying a warehousing task management interface; the warehousing task management interface is used for displaying at least one established warehousing task;

and receiving a state switching instruction aiming at the target established warehousing task in the at least one established warehousing task through the warehousing task management interface, and switching the task state of the target established warehousing task.

In some embodiments, the data management interface includes a catalog display area and a data display area; the method further comprises the following steps:

displaying at least one created directory through the directory display area;

and receiving a selection operation aiming at a target created directory in the at least one created directory, and displaying the warehoused data stored in the target created directory in the data display area.

In some embodiments, the receiving an interpretation order for the raw remote sensing data and generating an interpretation task corresponding to the raw remote sensing data includes:

displaying an interpretation task creation interface; the interpretation task creation interface comprises an interpretation model configuration area and a data configuration area;

responding to the configuration operation aiming at the interpretation model configuration area, and acquiring an interpretation model corresponding to the interpretation task;

responding to configuration operation aiming at the data configuration area, and acquiring original remote sensing data corresponding to the interpretation task;

generating the interpretation task based on an interpretation model corresponding to the interpretation task and original remote sensing data; the interpretation task is used for interpreting the original remote sensing data based on the interpretation model and generating a corresponding interpretation result.

In some embodiments, the interpretation task creation interface further comprises an interpretation parameter display area, the method further comprising:

in response to the obtaining of the interpretation model corresponding to the interpretation task, obtaining interpretation parameters corresponding to the interpretation model;

updating the display content of the interpretation parameter display area based on the interpretation parameter.

In some embodiments, the method further comprises:

responding to the generated interpretation task corresponding to the original remote sensing data, and displaying an interpretation task management interface; the interpretation task management interface is used for displaying at least one established interpretation task;

receiving an interpretation task management operation aiming at 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.

In some embodiments, the method further comprises:

responding to the model management request, and displaying a model management interface; the model management interface comprises a model import control;

receiving triggering operation aiming at the model import control, and displaying a model import interface; the model import interface comprises a model configuration area and a model uploading area;

responding to the uploading operation aiming at the model uploading area, acquiring a target model, responding to the configuration operation aiming at the model configuration area, and acquiring interpretation parameters corresponding to the target model;

storing the target model and corresponding interpretation parameters as an established interpretation model in a database.

In some embodiments, the model management interface is further configured to display at least one established interpretation model: the method further comprises the following steps:

receiving, through the model management interface, a model management operation for a target established model of the at least one established interpretation model;

and managing the target established model based on the model management operation.

In some embodiments, the generating a corresponding telemetry map based on the raw telemetry data and the interpretation result includes:

acquiring 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.

In some embodiments, the method further comprises:

responding to the map management request, and displaying a map management interface; the map management interface is used for displaying at least one published map;

receiving, through the map management interface, a map management operation for a target published map of the at least one published map;

and managing the target published map based on the map management operation.

In some embodiments, the map management operation comprises a map information query operation, and the managing the target published map based on the map management operation comprises:

responding to the map information query operation, and displaying a map information display interface corresponding to the target published map; the map information display interface comprises 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 method comprises the following steps of (1) address, data source type, map creation time and map thumbnail;

displaying data information of the target published map through the second display area; the data information includes at least one of: projection information, range, attribute field information.

In some embodiments, the interpretation result comprises at least one interpretation area in the original remote sensing data and interpretation information corresponding to each interpretation area; the map management operation comprises a style configuration operation, and the managing the target published map based on the map management operation comprises:

responding to the style configuration operation, and displaying a style configuration interface corresponding to the target published map; the style configuration interface comprises a display configuration area corresponding to each interpretation message;

acquiring display configuration data of the target issued map based on a display configuration area corresponding to each interpretation information; the display configuration data is used for determining the display effect of the interpretation area corresponding to each interpretation information.

In some embodiments, the target published map corresponds to raw remote sensing data and interpretation results at a plurality of time points, and the style configuration interface comprises a browsing mode configuration area; the method further comprises the following steps:

acquiring browsing mode configuration data of the target published map based on the browsing mode configuration area; the browsing mode configuration data is used for determining the browsing mode of the remote sensing map at the plurality of time points;

wherein the browsing mode comprises at least one of a single-time browsing mode and a multi-time browsing mode; the single time point browsing mode is used for responding to the selection operation aiming at a target time point in the multiple time points and displaying a remote sensing map corresponding to the target time point on a map providing interface corresponding to the target published map; and the multi-time point browsing mode is used for responding to the selection operation aiming at least two target time points in the multiple time points and simultaneously displaying the remote sensing map corresponding to each target time point on the map providing interface corresponding to the target published map.

In some embodiments, the interpretation results comprise interpretation sub-results of at least one interpretation type, the style configuration interface comprises a statistical configuration region; the method further comprises the following steps:

based on the statistical configuration area, acquiring a selection operation aiming at a target interpretation type in the at least one interpretation type;

receiving a statistical configuration operation aiming at the target interpretation type, and determining a statistical model corresponding to the target interpretation type; the statistical model is used for determining the variation of the interpretation sub-result of the target interpretation type in the plurality of time points.

In some embodiments, the map management operation comprises a map preview operation, and the managing the target published map based on the map management operation comprises:

responding to the map preview operation, and displaying a map preview interface corresponding to the target published map; the map preview interface is used for displaying the remote sensing map rendered based on the original remote sensing data and the interpretation result;

and receiving browsing operation aiming at the remote sensing map through the map preview interface, and refreshing the display state of the remote sensing map.

In a second aspect, a remote sensing data processing apparatus is provided, the apparatus comprising:

the acquisition module is used for acquiring original remote sensing data;

the interpretation module is used for receiving an interpretation instruction aiming at the original remote sensing data and generating an interpretation task corresponding to the original remote sensing data; the interpretation task is used for generating an interpretation result corresponding to the original remote sensing data;

and the generating module is used for generating a corresponding remote sensing map based on the original remote sensing data and the interpretation result.

In a third aspect, an electronic device is provided, including: a memory for storing an executable computer program; a processor for implementing the method of any of the above embodiments when executing the executable computer program stored in the memory.

In a fourth aspect, a computer-readable storage medium is provided, on which a computer program is stored, for causing a processor to, when executed, implement the method according to any of the above embodiments.

In the embodiment of the disclosure, after the interpretation instruction is received, the obtained original remote sensing data can be directly interpreted to generate the corresponding interpretation result and the remote sensing map, so that the generation efficiency of the remote sensing map is improved, and the convenience of issuing the remote sensing service containing the remote sensing map can be further improved; meanwhile, the method and the device can acquire the original remote sensing data to be interpreted based on user requirements and establish a corresponding interpretation task, so that a customized remote sensing map can be obtained, and the diversity of the remote sensing map is improved.

Drawings

Fig. 1 is a schematic flow chart illustrating an implementation of a method for processing remote sensing data according to an embodiment of the present disclosure;

fig. 2 is a schematic flow chart illustrating an implementation of a method for processing remote sensing data according to an embodiment of the present disclosure;

fig. 3 is a schematic flow chart illustrating an implementation of a method for processing remote sensing data according to an embodiment of the present disclosure;

fig. 4 is a schematic flow chart illustrating an implementation of a method for processing remote sensing data according to an embodiment of the present disclosure;

fig. 5 is a schematic flow chart illustrating an implementation of a method for processing remote sensing data according to an embodiment of the present disclosure;

FIG. 6 is an alternative preprocessing task management interface provided by embodiments of the present disclosure;

FIG. 7 is an alternative model management interface provided by embodiments of the present disclosure;

FIG. 8 is an alternative model configuration interface provided by embodiments of the present disclosure;

FIG. 9 is an alternative data management interface provided by embodiments of the present disclosure;

FIG. 10 is a schematic flow chart diagram illustrating an alternative method for managing raw remote sensing data according to an embodiment of the present disclosure;

fig. 11 is an alternative flow chart of a map publishing method provided by the embodiment of the disclosure;

fig. 12 is a schematic structural diagram of another remote sensing data processing apparatus provided in the embodiment of the present disclosure;

fig. 13 is a schematic hardware entity diagram of a remote sensing data processing device according to an embodiment of the present disclosure.

Detailed Description

The technical solution of the present disclosure will be specifically described below by way of examples with reference to the accompanying drawings. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments.

It should be noted that: in the examples of the present disclosure, "first", "second", and the like are used for distinguishing similar objects, and are not necessarily used for describing a sequential or chronological order of the objects. In addition, the technical solutions described in the embodiments of the present disclosure can be arbitrarily combined without conflict.

Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs. The terminology used herein is for the purpose of describing embodiments of the disclosure only and is not intended to be limiting of the disclosure.

The embodiment of the disclosure provides a remote sensing data processing method, which can provide diversified remote sensing maps. The remote sensing data processing method provided by the embodiment of the disclosure may be executed by an electronic device, where the electronic device may be any suitable device with data processing capability, such as a server, a notebook computer, a tablet computer, a desktop computer, a smart television, a set-top box, a mobile device (e.g., a mobile phone, a portable video player, a personal digital assistant, a dedicated messaging device, a portable game device), and the like.

Fig. 1 is a schematic flow chart of an implementation of a method for processing remote sensing data according to an embodiment of the present disclosure, and as shown in fig. 1, the method includes:

and S101, acquiring original remote sensing data.

In some embodiments, the raw remote sensing data may be remote sensing image data and remote sensing vector data acquired using a remote sensing device. In the process of acquiring the original remote sensing data, an interpretation type of the original remote sensing data can be acquired, the interpretation type is used for indicating the object type of an object needing to be detected in the original remote sensing data, and the interpretation mode determined by a user for the original remote sensing data can be represented. For example, in the case that the interpretation type is a building detection type, it can be determined that the type of the object to be detected is a building type, and the interpretation is performed by interpreting the building in the original remote sensing data. Different interpretation types may correspond to different interpretation models, with different interpretation types corresponding to different types of objects.

The remote sensing data interpretation method provided by the embodiment of the 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. When the interpretation requirement exists, a platform corresponding to the remote sensing data interpretation platform on the terminal login line can be used for logging in the website, and the website enters the remote sensing data interpretation platform on the line. The terminal may be any mobile network device, such as a smart phone, a tablet computer, and the like. The user can then specify at the terminal the raw telemetry data to be interpreted and the corresponding interpretation type.

S102, receiving an interpretation instruction aiming at the original remote sensing data, and generating an interpretation task corresponding to the original remote sensing data; and the interpretation task is used for generating an interpretation result corresponding to the original remote sensing data.

In some embodiments, the interpreting instructions may be instructions transmitted by the terminal to interpret the raw telemetry data. And the interpretation result is that each object existing in the original remote sensing data is determined by detecting the original remote sensing data according to the interpretation type. If the requirement for interpreting the original remote sensing data is determined to exist, an interpretation request can be initiated in the terminal by a user, for example, a page control corresponding to the terminal is clicked to start interpretation. The terminal can then generate an interpretation order based on the interpretation request to send to the server. The server can obtain the interpretation instruction, 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.

S103, generating a corresponding remote sensing map based on the original remote sensing data and the interpretation result.

In some embodiments, after the raw remote sensing data and the corresponding interpretation result are obtained, a corresponding remote sensing map can be generated, and in response to an access request to the remote sensing map by a terminal, the remote sensing map which can present the raw remote sensing data and the interpretation result can be sent to the terminal.

In other embodiments, the type of telemetry map is related to the data type of the raw telemetry data. The generation of the corresponding remote sensing map based on the original remote sensing data and the interpretation result can be realized by the following steps: acquiring 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.

In this embodiment, the raw remote sensing data may include remote sensing image data and vector data; under the condition that the original remote sensing data is remote sensing image data, a raster map can be generated; in the case where the raw remote sensing data is vector data, a vector tile map and a grid map may be generated.

Fig. 2 is a schematic flow chart of an implementation of a method for processing remote sensing data provided by an embodiment of the present disclosure, based on the embodiment of fig. 1, step S101 in fig. 1 may include steps S201 to S203, as shown in fig. 2, which will be described with reference to the steps shown in fig. 2.

S201, responding to the data management request, and displaying a data management interface.

In some embodiments, the system may provide an access address and/or an access interface of the data management interface, determine that an access request carrying the access address and/or the access interface is a data management request when the access request is received, and enter the data management interface in response to the data management request.

In some embodiments, the system may provide a function switching interface, where the function switching interface includes a control corresponding to at least one service function provided by the system, where the control corresponding to the at least one service function includes a control corresponding to a data management function, and the data management interface is displayed when a trigger operation for the control corresponding to the data management function is received. The data management interface may be a sub-interface in the function switching interface, or may be a new interface independent of the function switching interface.

S202, receiving triggering operation aiming at the warehousing control in the data management interface, and establishing a warehousing task.

In some embodiments, the data management interface includes at least a warehousing control. And after receiving the triggering operation aiming at the warehousing control, responding to the triggering operation, and establishing the warehousing task.

In some embodiments, in the process of establishing the warehousing task, the task attributes of the warehousing task may be set. The task attribute may include a data address, a storage time, and the like of the original remote sensing data.

S203, acquiring the original remote sensing data based on the warehousing task.

In some embodiments, the system may store the warehousing task through at least one task queue, sequentially pull the created warehousing task from the at least one task queue and execute the warehousing task based on a preset execution sequence, and in response to completion of execution of the warehousing task, the original remote sensing data is already stored in the database.

In some embodiments, after receiving a triggering operation for a warehousing control in the data management interface and establishing a warehousing task, the method may further include: responding to the establishment of the warehousing task, and displaying a warehousing task management interface; the warehousing task management interface is used for displaying at least one established warehousing task; and receiving a state switching instruction aiming at the target established warehousing task in the at least one established warehousing task through the warehousing task management interface, and switching the task state of the target established warehousing task.

After the warehousing task is established, a warehousing task management interface can be directly displayed, and the warehousing task management interface displays at least one established warehousing task.

The warehousing task management interface can display the task progress and the task state of each established warehousing task while displaying each established warehousing task. The task progress and the task state displayed through the warehousing task management interface can enable a user to visually determine the warehousing condition of each original remote sensing data.

In this embodiment, a status switching instruction for a target established warehousing task in the at least one established warehousing task may be received through the warehousing task management interface. In response to the state switching instruction, the task state of the target established warehousing task can be switched. The task state includes a start state, a pause state, and a termination state.

In some embodiments, the data management interface includes a catalog display area and a data display area; the method further comprises the following steps: displaying at least one created directory through the directory display area; and receiving a selection operation aiming at a target created directory in the at least one created directory, and displaying the warehoused data stored in the target created directory in the data display area.

In the process of displaying the data management interface, the at least one created directory may be displayed on the data management interface, and the warehoused data in the default created directory is displayed in the data display area. After receiving a selection operation for the target created directory, if the target created directory is different from the default created directory, displaying the put-in data stored in the target created directory in the data display area.

Under the condition that the data display area displays the warehoused data stored in the target created directory, acquiring the original remote sensing data based on the warehousing task and storing the original remote sensing data in a database, wherein the method comprises the following steps: and acquiring the original remote sensing data based on the warehousing task, and storing the original remote sensing data in the target created directory.

In some embodiments, the method further comprises: receiving a catalog management operation through the data management interface; and updating the directory information in the database based on the directory management operation. The directory management operation may include an add directory operation, a delete directory operation, a modify directory operation, and the like.

In some embodiments, the method further comprises: receiving warehousing data management operation through a data display area of the data management interface; and managing the warehoused data based on the warehoused data management operation. The warehoused data management operation may include an operation of deleting warehoused data, an operation of modifying warehoused data, and the like.

In some embodiments, the warehousing task includes an uploading task corresponding to the original remote sensing data and a preprocessing task corresponding to the original remote sensing data, and the establishing of the warehousing task corresponding to the data import operation includes: establishing an uploading task corresponding to the importing operation; the uploaded data is used for acquiring original data corresponding to the original remote sensing data; establishing the preprocessing task; the preprocessing task is used for preprocessing the original data to obtain the original remote sensing data; the pre-treatment comprises at least one of: splicing treatment and color homogenizing treatment.

In the embodiment of the disclosure, because the import of the original remote sensing data is realized by establishing the warehousing task, the management of the original remote sensing data can be completed by managing the warehousing task, the pertinence of data import is improved, and the data import efficiency is integrally improved; meanwhile, the established warehousing tasks are managed through the warehousing task management interface, so that the task state of the warehousing tasks can be changed at any time; the management of the original remote sensing data and the management of the warehousing task can be simultaneously completed on the data management interface, the convenience of data management is improved, and the remote sensing data processing efficiency and the remote sensing map construction efficiency can be accelerated on the other hand.

Fig. 3 is a schematic flow chart of an implementation of a method for processing remote sensing data according to an embodiment of the present disclosure, based on the embodiment of fig. 1, step S102 in fig. 1 may include steps S301 to S304, as shown in fig. 3, which will be described with reference to the steps shown in fig. 3.

S301, displaying an interpretation task creation interface; the interpretation task creation interface comprises an interpretation model configuration area and a data configuration area.

In some embodiments, the system may provide a function switching interface, where the function switching interface includes a control corresponding to at least one service function provided by the system, where the control corresponding to the at least one service function includes a control corresponding to an interpreted task management function, and the interpreted task management interface is displayed when a trigger operation for the control corresponding to the interpreted task management function is received. The interpretation task management interface can be a sub-interface in the function switching interface or a new interface independent of the function switching interface. The interpretation task management interface comprises an interpretation task creation control, and the interpretation task creation interface is displayed after the trigger operation aiming at the interpretation task creation control is received.

S302, responding to the configuration operation aiming at the interpretation model configuration area, and acquiring the interpretation model corresponding to the interpretation task.

In some embodiments, the interpretation task creation interface further comprises an interpretation parameter display area, the method further comprising: in response to the obtaining of the interpretation model corresponding to the interpretation task, obtaining interpretation parameters corresponding to the interpretation model; updating the display content of the interpretation parameter display area based on the interpretation parameter.

Wherein, the interpretation model configuration area can receive a selection operation for a target created model in at least one created model stored in the model library, and the target created model is used as the interpretation model corresponding to the interpretation task. In this embodiment, each created model in the model library corresponds to an interpretation parameter of the created model. Under the condition that the interpretation task creation interface further comprises an interpretation parameter display area, in response to the acquisition of the interpretation model corresponding to the interpretation task, acquiring the interpretation parameters corresponding to the interpretation model; updating the display content of the interpretation parameter display area based on the interpretation parameter.

S303, responding to the configuration operation aiming at the data configuration area, and acquiring the original remote sensing data corresponding to the interpretation task.

In some embodiments, in response to obtaining the interpretation model corresponding to the interpretation task, a data type of the original remote sensing data that can be interpreted by the interpretation model may be obtained, based on the data type, the original remote sensing data corresponding to the data type is filtered from the warehoused data and displayed, and after receiving a selection operation for the displayed at least one original remote sensing data, the at least one original remote sensing data selected by the user is taken as the original remote sensing data corresponding to the interpretation task.

S304, generating the interpretation task based on the interpretation model corresponding to the interpretation task and original remote sensing data; the interpretation task is used for interpreting the original remote sensing data based on the interpretation model and generating a corresponding interpretation result.

In some embodiments, after generating the interpretation task, the method further comprises: responding to the generated interpretation task corresponding to the original remote sensing data, and displaying an interpretation task management interface; the interpretation task management interface is used for displaying at least one established interpretation task; receiving an interpretation task management operation aiming at 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.

And receiving a state switching instruction aiming at a target established interpretation task in the at least one established interpretation task through the interpretation task management interface, and switching the task state of the target established interpretation task.

Wherein after the interpreted task is created, an interpreted task management interface can be directly displayed, the interpreted task management interface displaying at least one created interpreted task, e.g., after interpreted task a is created, the at least one created interpreted task displayed by the interpreted task management interface can include the created interpreted task a.

The interpretation task management interface can display the task progress and the task state of each established interpretation task while displaying each established interpretation task. The task progress and the task state displayed through the interpretation task management interface can enable a user to visually determine the interpretation condition of each original remote sensing data.

In this embodiment, a state switching instruction for a target established interpretation task of the at least one established interpretation task may be received through the interpretation task management interface. In response to the state switch instruction, the task state of the target established interpreted task may be switched. The task state includes a start state, a pause state, and a termination state.

In this embodiment, a delete instruction for a target established interpreted task of the at least one established interpreted task may be received through the interpreted task management interface. In response to the delete instruction, the target established interpretation task is deleted.

In the embodiment of the disclosure, by establishing a corresponding interpretation task for each original remote sensing data, a targeted interpretation can be realized, and the situations of over-pressure of a server and slow interpretation progress caused by simultaneously analyzing too many original remote sensing data can be avoided.

Fig. 4 is a schematic flow chart of an implementation of a method for processing remote sensing data according to 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 with reference to the steps shown in fig. 4.

S401, responding to a model management request, and displaying a model management interface; the model management interface comprises a model import control.

S402, receiving a trigger operation aiming at the model import control, and displaying a model import interface; the model import interface comprises a model configuration area and a model uploading area.

In some embodiments, the model import interface may be entered after receiving a trigger operation for the model import control through the model management interface. The model import interface may be a sub-interface in the model management interface, or may be another interface independent from the model management interface.

S403, responding to the uploading operation aiming at the model uploading area, obtaining a target model, responding to the configuration operation aiming at the model configuration area, and obtaining the interpretation parameters corresponding to the target model.

The model management interface can receive uploading operation aiming at the model uploading area, further can obtain storage information of the target model, and can obtain the target model based on the storage information. For example, the storage information may be a storage address of the target model, a model identification, and the like.

In some embodiments, after the target model is uploaded, the initial interpretation parameters corresponding to the target model may be displayed in the model configuration area, where the initial interpretation parameters may be carried in an uploaded data file of the target model, or may be called by the server in a local database based on the target model, which is not limited in this disclosure. In a further embodiment, the model management interface may receive a configuration operation for the model configuration area, and may further obtain an updated interpretation parameter, and use the updated interpretation parameter as the interpretation parameter corresponding to the target model.

S404, storing the target model and the corresponding interpretation parameters as an established interpretation model in a database.

In some embodiments, the model management interface is further configured to display at least one established interpretation model: the method further comprises the following steps: receiving, through the model management interface, a model management operation for a target established model of the at least one established interpretation model; and managing the target established model based on the model management operation. The model management operation may include a model query operation, a model delete operation, a model modify operation, and the like.

In the embodiment of the disclosure, diversified interpretation models can be uploaded, different types of interpretation models can be provided for different types of original remote sensing data in the process of establishing the interpretation tasks, and the pertinence and the interpretation accuracy of the interpretation tasks are improved.

Fig. 5 is a schematic flow chart of an implementation of a method for processing remote sensing data according to 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, which will be described with reference to the steps shown in fig. 5.

S501, responding to a map management request, and displaying a map management interface; the map management interface is used for displaying at least one published map.

S502, receiving a map management operation aiming at a target published map in the at least one published map through the map management interface.

And S503, performing map management on the target issued map based on the map management operation.

In some embodiments, the map management operation includes a map information query operation, which may be implemented through S5031 to S5033 to perform map management on the target published map based on the map management operation.

S5031, responding to the map information query operation, and displaying a map information display interface corresponding to the target published map; the map information display interface comprises a first display area and a second display area;

s5032, displaying the map information of the target published map through the first display area.

Wherein the map information includes at least one of: the method comprises the following steps of (1) address, data source type, map creation time and map thumbnail;

s5033, displaying the data information of the target published map through the second display area.

Wherein the data information comprises at least one of: projection information, range, attribute field information.

In some embodiments, 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 map management operation based on the map can be implemented through S5034 to S5035, where the map management on the target published map includes:

s5034, responding to the style configuration operation, displaying a style configuration interface corresponding to the target published map; the style configuration interface comprises a display configuration area corresponding to each interpretation message.

S5035, obtaining the display configuration data of the target published map based on the display configuration area corresponding to each piece of the interpretation information; the display configuration data is used for determining the display effect of the interpretation area corresponding to each interpretation information.

The target published map corresponds to original remote sensing data and interpretation results of a plurality of time points, and the style configuration interface comprises a browsing mode configuration area; the method further comprises the following steps: acquiring browsing mode configuration data of the target published map based on the browsing mode configuration area; and the browsing mode configuration data is used for determining the browsing mode of the remote sensing map at the plurality of time points.

In this embodiment, the browsing mode includes at least one of a single-time browsing mode and a multi-time browsing mode; the single time point browsing mode is used for responding to the selection operation aiming at a target time point in the multiple time points and displaying a remote sensing map corresponding to the target time point on a map providing interface corresponding to the target published map; and the multi-time point browsing mode is used for responding to the selection operation aiming at least two target time points in the multiple time points and simultaneously displaying the remote sensing map corresponding to each target time point on the map providing interface corresponding to the target published map.

The single time point browsing mode can display a remote sensing map corresponding to the current target time point for a user, so that the user can conveniently observe remote sensing information among all parts of the current geographic area at the target time point on the whole; the multi-time-point browsing mode can simultaneously display the remote sensing maps corresponding to the same geographic area at least two target time points for the user, so that the user can conveniently observe the remote sensing information of the same geographic area from the multiple target time points, and further the comparison of the remote sensing information is completed.

In this embodiment, the interpretation result includes an interpretation sub-result of at least one interpretation type, and the style configuration interface includes a statistical configuration area; the method further comprises the following steps: based on the statistical configuration area, acquiring a selection operation aiming at a target interpretation type in the at least one interpretation type; receiving a statistical configuration operation aiming at the target interpretation type, and determining a statistical model corresponding to the target interpretation type; the statistical model is used for determining the variation of the interpretation sub-result of the target interpretation type in the plurality of time points.

Wherein the interpretation type is the type of an object obtained by interpreting the original remote sensing data. For example, the interpretation type may include a building type, a greening type, and the like. The statistical model is used for showing the change of the statistical information of the target interpretation type in different time points through a statistical chart, the statistical chart can be a line chart, a bar chart, a scatter chart and the like, and the statistical information can be proportional information, total information and the like.

For example, a selection operation for the building type may be received through the statistical configuration area, the map providing interface may show a distribution area corresponding to the building type, and meanwhile, if the statistical model corresponding to the building type is an area proportion showing the building type through a line graph, a change of the area proportion of the building in different time points of the geographic area may be shown through the line graph.

In some embodiments, the map management operation includes a map preview operation, and map management of the target published map based on the map management operation may be implemented through S5036 to S5037 as described above.

S5036, responding to the map preview operation, and displaying a map preview interface corresponding to the target published map; and the map preview interface is used for displaying the remote sensing map rendered based on the original remote sensing data and the interpretation result.

S5037, receiving browsing operation aiming at the remote sensing map through the map preview interface, and refreshing the display state of the remote sensing map.

In this embodiment, the browsing operation may include at least one of the following operations: a translation operation, a zoom-in operation, a zoom-out operation, and the like.

By the embodiment, the style of the remote sensing map can be edited, the personalized remote sensing map can be provided based on the personalized requirements of the user, the user can further acquire necessary information from the remote sensing map more intuitively, the access times to the server are reduced, and the access pressure of the server is reduced.

Next, an exemplary application of the embodiment of the present application in a practical application scenario will be described.

The rapid advance of the deep learning technology brings more choices to the traditional remote sensing data interpretation, the interpretation mode of 'remote sensing + AI' greatly improves the processing efficiency, and meanwhile, along with more and more application directions of the remote sensing technology, the embodiment of the disclosure provides a management system which can visually manage the remote sensing original data and the interpreted data, can generate an interpretation task based on targeted business requirement customization, can export an interpretation result based on user requirement customization, and can realize statistical analysis of the interpretation result. The visualization management system will be explained below.

In some embodiments, the system may include a telemetry monitoring module for managing telemetry data and an information service module for providing a telemetry map based on the telemetry data.

In some embodiments, the telemetry monitoring module may include a data preprocessing unit, a model management unit, a data management unit, and an intelligent interpretation unit.

The data preprocessing unit can be used for warehousing original remote sensing data into a system and performing necessary preprocessing operation. Wherein the preprocessing operation may include at least one of: automatic splicing and automatic color homogenizing. In some embodiments, the data preprocessing unit can also cut the interpretation result corresponding to the original remote sensing data according to the specified requirements.

Referring to fig. 6, an alternative preprocessing task management interface provided by the embodiment of the disclosure is shown, in which the preprocessing task management interface a10 includes a preprocessing task presentation area a11, and the preprocessing task presentation area a11 is used for displaying at least one established preprocessing task.

The established preprocessing tasks may include first preprocessing tasks a111 whose task states are completed, where each first preprocessing task a111 corresponds to at least one operation control, and the operation controls include a preview control a112 and a delete control a 113. The user can display the processing result corresponding to the first preprocessing task a111 by acting on the preview control a112, or can delete the processing result corresponding to the first preprocessing task a111 by acting on the delete control a 113.

The established preprocessing tasks may further include second preprocessing tasks a114 with task states of incomplete, each second preprocessing task a114 corresponds to a progress control a115, and the progress controls a115 are used for showing the task execution progress of the second preprocessing tasks a114, and can be shown in a dynamically changing display form such as a progress bar, where the display form is not limited.

The model management unit can be used for managing various models to be used by the system, a user can upload the models to the system and configure the basic attributes of the models, and accordingly, the user can delete the models according to actual requirements.

Referring to fig. 7, an alternative model management interface provided by the embodiment of the present disclosure is shown, where 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. Wherein, the uploading process of the model file can comprise the following steps: receiving a trigger operation aiming at the model uploading control B11, and entering a file sub-interface; and receiving the storage information of the model file through the file sub-interface, and acquiring the model file based on the storage information. The storage information may be a storage address of the model file, a file identification, and the like.

The model configuration area B12 may include at least one configuration sub-area for interpreting parameters, as shown in fig. 7, the interpreting parameters in the model configuration area B12 include model name, image resolution, image bit depth, image band number, image band information, background pixel value, model category, etc.

The model management interface B10 also includes a model save control B13. In some embodiments, the format check may be performed on the acquired model file and/or the interpretation parameters based on a preset check rule in response to a triggering event for the model saving control B13, and in case of successful format check, the model file and/or the interpretation parameters may be stored in the model library as the interpretation model.

The remote sensing interpretation unit can be used for interpreting the remote sensing data which are put in storage based on the uploaded model. The remote sensing interpretation unit can also be used for managing the interpretation task. The remote sensing interpretation unit can realize management operations such as establishment, deletion and the like of an interpretation task based on user operation; the remote sensing interpretation unit can also be used for configuring interpretation parameters of each interpretation task. Wherein the interpretation parameters may include at least one of: interpreting object parameters, interpreting model parameters and model configuration parameters; the interpretation object parameter can be used for determining the original remote sensing data to be interpreted by the interpretation task, for example, the file name, the storage address and the like of the original remote sensing data; the interpretation model parameters are used for determining an interpretation model corresponding to the current interpretation task; the model configuration parameters may be used to determine the interpretation parameters corresponding to the current interpretation model.

The remote sensing interpretation unit can display the established interpretation task through a visual interface. For example, the established at least one interpreted task may be presented through a task management interface, and at the same time, a selection operation for a target interpreted task in the at least one interpreted task may be received through the task management interface, a task state of the target interpreted task may be presented, and the task state may include task progress, remote sensing data information, interpretation result information, and the like of the target interpreted task. The task management interface may further receive a state change request for the target interpreted task, where the state change request is used to switch the task state of the target interpreted task, that is, the task state can be switched between at least two task states, i.e., a start state and a pause state.

In some embodiments, in the process of creating an interpretation task by a user, an interpretation model corresponding to the interpretation task may be selected first. For example, the interpretation model may be, but is not limited to, a building model, a building variation model, a greenfield model, etc., and different interpretation models may be extended according to the needs of the user. The interpretation model selected by the user can be determined through the model configuration interface, the original remote sensing data needing interpretation is selected, the interpretation task is started, and the task management page is displayed.

Referring to fig. 8, an alternative model configuration interface provided by the embodiment of the present disclosure is shown, in which 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 presented in the parameter presentation area C12. The interpretation parameters include, but are not limited to, model name, image resolution, image bit depth, image band number, image band information, background pixel value, model type, etc.

The data management unit can be used for managing remote sensing data in a system, wherein the remote sensing data comprises the unprocessed original remote sensing data which is put in a warehouse, and also can comprise an interpretation result of the original remote sensing data which is interpreted by an interpretation model. In some embodiments, the preset management operations in the data management unit may include deleting, modifying name and attribute information, creating a directory, managing a directory, and the like.

Referring to fig. 9, an alternative data management interface provided by the embodiment of the present disclosure is shown, in which the data management interface D10 includes a directory selection area D11 and a data presentation area D12, where the directory selection area D11 is used for displaying at least one storage directory in the system, and in response to a selection operation for a target storage directory in the at least one storage directory, data stored in the target storage directory is presented in the data presentation area D12.

Referring to fig. 10, fig. 10 is an optional flowchart of a method for managing raw remote sensing data according to an embodiment of the present disclosure, which will be described with reference to the steps shown in fig. 10.

And S1001, selecting the data type of the original remote sensing data.

The data type of the raw remote sensing data may be, but is not limited to, image data, vector data, metadata, and other data.

And S1002, receiving an uploading instruction aiming at the original remote sensing data.

Wherein, when the uploading instruction is used for representing that the uploading of the original remote sensing data is allowed, step S1003 is executed; in a case where the upload instruction is used to indicate that uploading of the raw remote sensing data is not allowed, step S1004 is performed.

S1003, establishing and executing an uploading task of the original remote sensing data, and obtaining a task progress of the uploading task.

After receiving a task state switching instruction for the upload task, in response to the task state switching instruction, step S1005 is executed to switch between a start state and a pause state.

After receiving a task cancel instruction for the upload task, in response to the task cancel instruction, step S1006 is executed, the upload task is canceled, and step S1004 is executed.

And S1007, managing the original remote sensing data.

The method comprises the steps of receiving a management instruction aiming at the original remote sensing data, and managing the original remote sensing data in response to the management instruction. The management instructions may include at least one of: data browsing instructions, data editing instructions, data deleting instructions and data retrieving instructions.

Referring to fig. 11, fig. 11 is an optional flowchart of a map publishing method provided in the embodiment of the present disclosure, and will be described with reference to the steps shown in fig. 11.

S1101, selecting the data type of the original remote sensing data.

And S1102, receiving a map creation instruction aiming at the original remote sensing data.

The map creation instruction is at least used for determining a data source and a map name corresponding to the remote sensing map. Under the condition that the original remote sensing data is image data, the map creation instruction is used for determining a data source and a map name corresponding to the remote sensing map; and under the condition that the original remote sensing data is vector data, the map creation instruction is used for determining a data source, a map name and a map style corresponding to the remote sensing map.

And S1103, responding to the map creation instruction, and creating a corresponding remote sensing map.

And S1104, managing the remote sensing map.

In some embodiments, the managing the remote sensing map may include: map publishing, map management map previewing and map style configuration. Wherein, map publishing: the system supports the map publishing function of two kinds of data, and can publish the remote sensing image data into a grid map. And vector data can be published as both a vector tile map and a grid map. After the map is released, the map can be deleted and modified, and the state of the map can be controlled, and the service state of the map can be paused or started. Map management map preview: the released map can preview the map effect in the system, and can also perform general map browsing operations including translation, magnification, reduction and the like. Map style configuration: the map can be style configured by the system and set as a default display style when the map is used by the map user.

In some implementation scenarios, the system can be used in a building violation supervision scenario, and for a building (whether the building is violated or not) change situation, a user can set a classification label (highly suspected, generally suspected, not violated) and other remark content for each change situation. After the marking is finished, the user can browse all remote sensing images and default information data, including the condition of any historical time point (interpreted and configured), and can see the default quantity statistical result of each time point and check the default change degree between the time points in an intuitive line graph mode. Besides a mode of browsing one time point independently, the system also supports browsing data of two time points simultaneously, including two modes of rolling and split-screen. In the single time node browsing mode, the user can obtain all the default information in the time node in a list mode and view the default information one by one in a mode of browsing (clicking or keyboard up and down keys).

In some implementation scenarios, the system can be used in a greening supervision scenario, and for the green interpretation result, the user can browse all urban greening distribution data including the situation of any one time point (interpreted and configured) in history, and can see the greening area and the greening rate at each time point, and can also see the greening area and the changing degree of the greening rate between each time point in an intuitive line graph manner. The user can also only display the satellite image or display the satellite image and the urban greening distribution together. Besides a mode of browsing one time point independently, the system also supports browsing data of two time points simultaneously, including two modes of rolling and split-screen. The system supports a user to dynamically configure the display styles of various ground objects in the urban greening condition, the user can configure the sidelines and filling styles of various ground objects according to own preference, the configured side lines and filling styles are displayed on a map in real time and can be automatically recorded by the system, and the next browsing is facilitated.

Fig. 12 is a schematic structural diagram of a remote sensing data processing apparatus according to an embodiment of the present disclosure, and as shown in fig. 12, a remote sensing data processing apparatus 1200 includes:

an obtaining module 1201, configured to obtain original remote sensing data;

an interpretation module 1202, 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 for generating an interpretation result corresponding to the original remote sensing data;

a generating module 1203, configured to generate a corresponding remote sensing map based on the original remote sensing data and the interpretation result.

In some embodiments, the obtaining module 1201 is further configured to

and acquiring the original remote sensing data based on the warehousing task.

In some embodiments, the obtaining module 1201 is further configured to

In some embodiments, the data management interface includes a catalog display area and a data display area; the obtaining module 1201 is further configured to

Displaying at least one created directory through the directory display area;

In some embodiments, the interpretation module 1202 is further configured to:

In some embodiments, the interpretation task creation interface further includes an interpretation parameter display area, and the interpretation module 1202 is further configured to:

In some embodiments, the interpretation module 1202 is further configured to:

In some embodiments, the model management interface is further configured to display at least one established interpretation model: the interpretation module 1202 is further configured to:

In some embodiments, the generating module 1203 is further configured to:

acquiring a data type corresponding to the original remote sensing data;

In some embodiments, the generating module 1203 is further configured to:

and managing the target published map based on the map management operation.

In some embodiments, the map management operation includes a map information query operation, and the generating module 1203 is further configured to:

In some embodiments, the interpretation result comprises 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 module 1203 is further configured to:

In some embodiments, the target published map corresponds to raw remote sensing data and interpretation results at a plurality of time points, and the style configuration interface comprises a browsing mode configuration area; the generating module 1203 is further configured to:

In some embodiments, the interpretation results comprise interpretation sub-results of at least one interpretation type, the style configuration interface comprises a statistical configuration region; the generating module 1203 is further configured to:

In some embodiments, the map management operation includes a map preview operation, and the generating module 1203 is further configured to:

The above description of the apparatus embodiments, similar to the above description of the method embodiments, has similar beneficial effects as the method embodiments. For technical details not disclosed in the embodiments of the apparatus of the present disclosure, reference is made to the description of the embodiments of the method of the present disclosure.

It should be noted that, in the embodiment of the present disclosure, if the remote sensing data processing method is implemented in the form of a software functional module and is sold or used as an independent product, the remote sensing data processing method may also be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the embodiments of the present disclosure may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a device to perform all or part of the methods of the embodiments of the present disclosure. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read Only Memory (ROM), a magnetic disk, or an optical disk. As such, the disclosed embodiments are not limited to any specific combination of hardware and software.

Fig. 13 is a schematic diagram of a hardware entity of a remote sensing data processing device according to an embodiment of the present disclosure, and as shown in fig. 13, 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 operable on the processor 1301, and the processor 1301 executes the program to implement the steps of the method of any of the embodiments described above.

The Memory 1302 stores a computer program operable on the processor, and the Memory 1302 is configured to store instructions and applications executable by the processor 1301, and may also cache data (e.g., image data, audio data, voice communication data, and video communication data) to be processed or already processed by each module in the remote sensing data processing apparatus 1300 and the processor 1301, and may be implemented by a FLASH Memory (FLASH) or a Random Access Memory (RAM).

The processor 1301, when executing the program, implements the steps in the method of any of the embodiments described above. Processor 1301 generally controls the overall operation of telemetry data processing apparatus 1300.

The present disclosure provides a computer storage medium storing one or more programs, which are executable by one or more processors to implement the steps of the remote sensing data processing method according to any one of the above embodiments.

Here, it should be noted that: the above description of the storage medium and device embodiments is similar to the description of the method embodiments above, with similar advantageous effects as the method embodiments. For technical details not disclosed in the embodiments of the storage medium and apparatus of the present disclosure, reference is made to the description of the embodiments of the method of the present disclosure.

The Processor may be at least one of an Application Specific Integrated Circuit (ASIC), a Digital Signal Processor (DSP), a Digital Signal Processing Device (DSPD), a Programmable Logic Device (PLD), a Field Programmable Gate Array (FPGA), a Central Processing Unit (CPU), a controller, a microcontroller, and a microprocessor. It is understood that the electronic device implementing the above processor function may be other, and the embodiments of the present disclosure are not particularly limited.

The computer storage medium/Memory may be a Read Only Memory (ROM), a Programmable Read Only Memory (PROM), an Erasable Programmable Read Only Memory (EPROM), an Electrically Erasable Programmable Read Only Memory (EEPROM), a magnetic Random Access Memory (FRAM), a Flash Memory (Flash Memory), a magnetic surface Memory, an optical Disc, or a Compact Disc Read-Only Memory (CD-ROM), and the like; but may also be various terminals such as mobile phones, computers, tablet devices, personal digital assistants, etc., that include one or any combination of the above-mentioned memories.

It should be appreciated that reference throughout this specification to "one embodiment" or "an embodiment of the present disclosure" or "a previous embodiment" or "some embodiments" means that a target feature, structure or characteristic described in connection with the embodiment is included in at least one embodiment of the present disclosure. Thus, the appearances of the phrases "in one embodiment" or "in an embodiment" or "the disclosed embodiment" or "the foregoing embodiments" or "some embodiments" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the described features, structures, or characteristics of the objects may be combined in any suitable manner in one or more embodiments. It should be understood that, in various embodiments of the present disclosure, the sequence numbers of the above-mentioned processes do not mean the execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present disclosure. The above-mentioned serial numbers of the embodiments of the present disclosure are merely for description and do not represent the merits of the embodiments.

Without being specifically described, the detection device performs any step in the embodiments of the present disclosure, and the processor of the detection device may perform the step. Unless otherwise specified, the disclosed embodiments do not limit the order in which the detection device performs the following steps. In addition, the data may be processed in the same way or in different ways in different embodiments. It should be further noted that any step in the embodiments of the present disclosure may be executed independently by the detection device, that is, when the detection device executes any step in the above embodiments, the detection device may not depend on the execution of other steps.

In the several embodiments provided in the present disclosure, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described device embodiments are merely illustrative, for example, the division of the unit is only a logical functional division, and there may be other division ways in actual implementation, such as: multiple units or components may be combined, or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the coupling, direct coupling or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection between the devices or units may be electrical, mechanical or other forms.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units; can be located in one place or distributed on a plurality of network units; some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, all the functional units in the embodiments of the present disclosure may be integrated into one processing unit, or each unit may be separately regarded as one unit, or two or more units may be integrated into one unit; the integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.

The methods disclosed in the several method embodiments provided in this disclosure may be combined arbitrarily without conflict to arrive at new method embodiments.

Features disclosed in several of the product embodiments provided in this disclosure may be combined in any combination to yield new product embodiments without conflict.

The features disclosed in the several method or apparatus embodiments provided in this disclosure may be combined in any combination to arrive at a new method or apparatus embodiment without conflict.

Those of ordinary skill in the art will understand that: all or part of the steps for realizing the method embodiments can be completed by hardware related to program instructions, the program can be stored in a computer readable storage medium, and the program executes the steps comprising the method embodiments when executed; and the aforementioned storage medium includes: various media that can store program codes, such as a removable Memory device, a Read Only Memory (ROM), a magnetic disk, or an optical disk.

Alternatively, the integrated unit of the present disclosure may be stored in a computer-readable storage medium if it is implemented in the form of a software functional module and sold or used as a separate product. Based on such understanding, the technical solutions of the embodiments of the present disclosure may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a detection device, or a network device) to execute all or part of the methods described in the embodiments of the present disclosure. And the aforementioned storage medium includes: a removable storage device, a ROM, a magnetic or optical disk, or other various media that can store program code.

In the embodiments of the present disclosure, the descriptions of the same steps and the same contents in different embodiments may be mutually referred to. In the embodiments of the present disclosure, the term "not" does not affect the order of the steps.

The above description is only an embodiment of the present disclosure, but the scope of the present disclosure is not limited thereto, and any person skilled in the art can easily conceive of changes or substitutions within the technical scope of the present disclosure, and all the changes or substitutions should be covered by the scope of the present disclosure. Therefore, the protection scope of the present disclosure shall be subject to the protection scope of the claims.

Claims

1. A method for processing remote sensing data, the method comprising:

acquiring original remote sensing data;

2. The method of claim 1, wherein the obtaining raw remote sensing data comprises:

and acquiring the original remote sensing data based on the warehousing task.

3. The method of claim 2, further comprising:

4. The method of claim 2 or 3, wherein the data management interface comprises a catalog display area and a data display area; the method further comprises the following steps:

displaying at least one created directory through the directory display area;

5. The method of any one of claims 1 to 4, wherein receiving interpretation instructions for the raw remote sensing data to generate an interpretation task corresponding to the raw remote sensing data comprises:

6. The method of claim 5, wherein the interpretation task creation interface further comprises an interpretation parameter display area, the method further comprising:

7. The method of claim 5 or 6, further comprising:

8. The method according to any one of claims 5 to 7, further comprising:

9. The method of claim 8, wherein the model management interface is further configured to display at least one established interpretation model: the method further comprises the following steps:

10. The method according to any one of claims 1 to 9, wherein generating a corresponding telemetry map based on the raw telemetry data and the interpretation result comprises:

acquiring a data type corresponding to the original remote sensing data;

11. The method according to any one of claims 1 to 10, further comprising:

and managing the target published map based on the map management operation.

12. The method of claim 11, wherein the map management operation comprises a map information query operation, and wherein managing the target published map based on the map management operation comprises:

13. The method according to claim 11 or 12, wherein the interpretation result comprises at least one interpretation area in the original remote sensing data and interpretation information corresponding to each interpretation area; the map management operation comprises a style configuration operation, and the managing the target published map based on the map management operation comprises:

14. The method of claim 13, wherein the target published map corresponds to raw remote sensing data and interpretation results at a plurality of time points, and the style configuration interface comprises a browsing mode configuration area; the method further comprises the following steps:

15. The method of claim 14, wherein the interpretation results comprise interpretation sub-results of at least one interpretation type, and wherein the style configuration interface comprises a statistical configuration area; the method further comprises the following steps:

16. The method of any of claims 11 to 15, wherein the map management operation comprises a map preview operation, and wherein managing the target published map based on the map management operation comprises:

17. A device for processing remote sensing data, the device comprising:

the acquisition module is used for acquiring original remote sensing data;

18. An electronic device, comprising:

a memory for storing an executable computer program;

a processor for implementing the method of any one of claims 1 to 16 when executing an executable computer program stored in the memory.

19. A computer-readable storage medium, having stored thereon a computer program for causing a processor, when executed, to carry out the method of any one of claims 1 to 16.