CN116469022A - Surface remote sensing monitoring system and method - Google Patents
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Abstract
The invention relates to the field of information processing and discloses a surface remote sensing monitoring system and a surface remote sensing monitoring method, wherein the surface remote sensing monitoring system comprises a remote sensing image acquisition module, an image characteristic processing module, a history characteristic matching module and a remote sensing result output module; the remote sensing images are acquired and analyzed, so that ground environment judgment of a large-area ground surface place is realized, the garbage distribution condition of the ground is known through front-rear feature comparison, and further, high-efficiency distribution and maintenance assistance of ground maintenance personnel are realized, and the maintenance management efficiency of the large-area public place can be effectively provided.
Description
Technical Field
The invention relates to the field of information processing, in particular to a system and a method for monitoring ground surface remote sensing.
Background
In areas such as rural travel, farmlands and woodlands, daily people and people come and go, garbage, carryover and the like can exist randomly in the areas, the attractiveness and the sightseeing experience of the sites are seriously affected, and therefore the places are required to be constantly maintained and managed, and the cleanliness and the neatness of the places are guaranteed.
In the prior art, the efficiency is lower through the traversal type reciprocating navigation mode of maintenance personnel, and in a larger place, limited maintenance personnel are difficult to effectively and rapidly position the distribution of garbage, so that more time is in the searching process, and part of places cannot be maintained in time.
Disclosure of Invention
The invention aims to provide a system and a method for monitoring ground surface remote sensing, which are used for solving the problems in the background technology.
In order to achieve the above purpose, the present invention provides the following technical solutions:
a surface remote sensing monitoring system comprising:
the remote sensing image acquisition module is used for generating a remote sensing execution request and responding to the remote sensing execution request at a preset earth surface updating time interval, acquiring a remote sensing image of the earth surface of the supervision and scheduling area through remote sensing equipment, wherein the earth surface updating time interval is a dynamic time length, and the remote sensing image is used for representing the distribution condition of an object image of the earth surface;
the image feature processing module is used for preprocessing the remote sensing image to obtain a gray image, marking the gray value of the pixel point of the gray image, and calculating the gray difference value of the adjacent pixel point in the generated gray image to generate a corresponding feature gradient matrix, wherein the feature gradient matrix characterizes the distribution condition of the image features;
the history feature matching module is used for acquiring an initial gradient matrix of the supervision and dispatching area, performing difference on the feature gradient matrix based on the initial gradient matrix to generate a supervision object matrix, and characterizing the supervision object matrix based on a pixel matching relation between the matrix and the image to generate a supervision object distribution image;
and the remote sensing result output module is used for generating a management scheduling instruction based on the supervision object distribution image and transmitting the management scheduling instruction to the management mobile terminal through a preset communication channel, wherein the management scheduling instruction is used for carrying out supervision area reassignment on management staff in a supervision scheduling area based on the object distribution density of the supervision object distribution image and carrying out distribution marking on the supervision object for output.
As a further aspect of the invention: the history feature matching module comprises a characterization unit, and the characterization unit specifically comprises:
the difference filtering subunit is used for judging the elements of the rows and the columns in the supervision object matrix one by one based on a preset difference threshold value to generate a judging result, and if the judging result is smaller than the preset difference threshold value, the value of the element is zeroed;
a difference value assignment subunit, configured to assign a value of the element to one when the determination result indicates that the difference value is greater than or equal to the preset difference value threshold;
and the matrix characterization subunit is used for characterizing the assigned supervision object matrix into a supervision object distribution image according to the pixel matching relation between the matrix and the image, wherein the color representation of the assigned pixels with one value and zero value in the supervision object distribution image is different.
As still further aspects of the invention: the remote sensing image acquisition module comprises an image generation unit;
the image generation unit is used for acquiring a plurality of groups of basic remote sensing images through remote sensing equipment, carrying out stacking matching on the plurality of groups of basic remote sensing images so as to identify the motion characteristic objects in the plurality of groups of basic remote sensing images, eliminating the motion characteristic objects in the plurality of groups of basic remote sensing images and generating remote sensing images of the surface of the supervision and scheduling area.
As still further aspects of the invention: the remote sensing image acquisition module further comprises a circulation interval determining unit;
the circulation interval determining unit is used for marking and counting a plurality of motion characteristic objects identified in stack matching to calculate and generate the motion object density of the supervision and dispatching area, the motion object density comprises a density range generated based on historical record statistics, the density range comprises a dynamic time interval range inversely proportional to the density range, when the motion object density increases, the dynamic time interval decreases, and the dynamic time interval is used for controlling generation of a next remote sensing execution request.
As still further aspects of the invention: the initial gradient matrix is used for representing a characteristic gradient matrix generated based on the processing of the acquired remote sensing image in a preset time period before the supervision and dispatching area is opened to the moving characteristic object, and the initial gradient matrix is used for carrying out basic inherent characteristic shielding on the supervision and dispatching area on the characteristic gradient matrix.
The embodiment of the invention aims to provide a ground surface remote sensing monitoring method, which comprises the following steps:
generating a remote sensing execution request and responding at a preset earth surface updating time interval, and acquiring remote sensing images of the earth surface of a supervision and scheduling area through remote sensing equipment, wherein the earth surface updating time interval is a dynamic time length, and the remote sensing images are used for representing the distribution condition of object images of the earth surface;
preprocessing the remote sensing image to obtain a gray image, marking gray values of pixels of the gray image, and calculating gray difference values of adjacent pixels in the generated gray image to generate a corresponding characteristic gradient matrix, wherein the characteristic gradient matrix represents the distribution condition of image characteristics;
acquiring an initial gradient matrix of the supervision and scheduling area, performing difference on the characteristic gradient matrix based on the initial gradient matrix to generate a supervision object matrix, and characterizing the supervision object matrix based on a pixel matching relation between the matrix and the image to generate a supervision object distribution image;
and generating a management scheduling instruction based on the supervision object distribution image and forwarding the management scheduling instruction to the management mobile terminal through a preset communication channel, wherein the management scheduling instruction is used for carrying out supervision area reassignment on management staff of a supervision scheduling area based on the object distribution density of the supervision object distribution image and carrying out distribution marking on the supervision object for output.
As a further aspect of the invention: the step of characterizing the supervision object matrix based on the pixel matching relation between the matrix and the image to generate a supervision object distribution image comprises the following steps:
judging elements of rows and columns in the supervision object matrix one by one based on a preset difference threshold value, generating a judging result, and if the judging result is smaller than the preset difference threshold value, zeroing the value of the elements;
when the judging result is characterized in that the difference value is larger than or equal to the preset difference value threshold value, the value of the element is assigned as one;
and characterizing the assigned supervision object matrix into a supervision object distribution image according to the pixel matching relation between the matrix and the image, wherein the color representation of the assigned pixels with one value and zero value in the supervision object distribution image is different.
As still further aspects of the invention: the step of acquiring the remote sensing image of the surface of the supervision and dispatching area through the remote sensing equipment specifically comprises the following steps:
and acquiring a plurality of groups of basic remote sensing images through remote sensing equipment, stacking and matching the plurality of groups of basic remote sensing images to identify moving characteristic objects in the plurality of groups of basic remote sensing images, eliminating the moving characteristic objects in the plurality of groups of basic remote sensing images, and generating remote sensing images of the ground surface of the supervision and scheduling area.
As still further aspects of the invention: the method also comprises the steps of:
marking and counting a plurality of moving characteristic objects identified in stack matching to calculate a moving object density of the supervision and dispatching area, wherein the moving object density comprises a density range generated based on historical record statistics, the density range comprises a dynamic time interval range inversely proportional to the density range, and when the moving object density increases, the dynamic time interval decreases, and the dynamic time interval is used for controlling generation of a next remote sensing execution request.
As still further aspects of the invention: the initial gradient matrix is used for representing a characteristic gradient matrix generated based on the processing of the acquired remote sensing image in a preset time period before the supervision and dispatching area is opened to the moving characteristic object, and the initial gradient matrix is used for carrying out basic inherent characteristic shielding on the supervision and dispatching area on the characteristic gradient matrix.
Compared with the prior art, the invention has the beneficial effects that: the remote sensing images are acquired and analyzed, so that ground environment judgment of a large-area ground surface place is realized, the garbage distribution condition of the ground is known through front-rear feature comparison, and further, high-efficiency distribution and maintenance assistance of ground maintenance personnel are realized, and the maintenance management efficiency of the large-area public place can be effectively provided.
Drawings
Fig. 1 is a block diagram of a system for remote sensing monitoring of the earth's surface.
Fig. 2 is a block diagram of a characterization unit in a surface remote sensing monitoring system.
Fig. 3 is a block flow diagram of a method for remote sensing monitoring of the earth's surface.
Description of the embodiments
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Specific implementations of the invention are described in detail below in connection with specific embodiments.
As shown in fig. 1, a system for remote sensing and monitoring of the earth's surface according to an embodiment of the present invention includes the following steps:
the remote sensing image acquisition module 100 is configured to generate a remote sensing execution request and respond at a preset earth surface update time interval, and acquire a remote sensing image of the earth surface of the supervision and scheduling area through remote sensing equipment, where the earth surface update time interval is a dynamic time length, and the remote sensing image is used for representing an object image distribution situation of the earth surface.
The image feature processing module 300 is configured to perform preprocessing on the remote sensing image to obtain a gray level image, perform gray level value marking on pixels of the gray level image, and calculate gray level differences of adjacent pixels in the generated gray level image to generate a corresponding feature gradient matrix, where the feature gradient matrix characterizes distribution conditions of image features.
The history feature matching module 500 is configured to obtain an initial gradient matrix of the supervision and scheduling area, perform a difference on the feature gradient matrix based on the initial gradient matrix to generate a supervision object matrix, and characterize the supervision object matrix based on a pixel matching relationship between the matrix and the image to generate a supervision object distribution image.
The remote sensing result output module 700 is configured to generate a management scheduling instruction based on the supervision object distribution image, and forward the management scheduling instruction to the management mobile terminal through a preset communication channel, where the management scheduling instruction is configured to redistribute a supervision area to a manager in the supervision scheduling area based on an object distribution density of the supervision object distribution image, and perform distribution marking on the supervision object for output.
In the embodiment, a ground surface remote sensing monitoring system is provided, by acquiring and analyzing remote sensing images, ground environment judgment of a large-area ground surface place is realized, and by comparing front and rear characteristics, the garbage distribution condition of the ground is known, so that high-efficiency distribution and maintenance assistance to ground maintenance personnel are realized, and maintenance management efficiency of a large-area public place can be effectively provided; when the environment is used, the environment can be specifically understood as a large-area public grassland, rural text travel, farmland, woodland and other areas, garbage, carryover and the like can be caused to randomly exist in the areas in daily people and people going, so that the beauty and the sightseeing experience of the field are seriously affected, continuous maintenance management is required to be carried out, the cleanliness of the environment is ensured, corresponding remote sensing images are obtained at high altitude through a remote sensing technology (can be realized through the modes of regular cruising of an unmanned aerial vehicle and the like), the shape and the distribution image of the corresponding garbage are obtained through the characteristic processing of the remote sensing images (the occupation range of the characteristic objects is identified through gray level ladder processing), the scheduling of maintenance management personnel can be realized, and the maintenance management personnel is assisted through image marks to carry out maintenance cleaning.
As another preferred embodiment of the present invention, the history feature matching module 500 includes a characterizing unit 510, where the characterizing unit 510 specifically includes:
the difference filtering subunit 511 is configured to determine elements of the rows and columns in the supervision object matrix one by one based on a preset difference threshold, generate a determination result, and zero the value of the element if the determination result is characterized as being smaller than the preset difference threshold.
And a difference value assignment subunit 512, configured to assign a value of the element to one when the determination result indicates that the difference value is greater than or equal to the preset difference threshold.
The matrix characterization subunit 513 is configured to characterize the assigned supervision object matrix into a supervision object distribution image according to a pixel matching relationship between the matrix and the image, where color representations of the pixels assigned with one and zero in the supervision object distribution image are different.
In this embodiment, the process of obtaining the object matrix feature through characterization is further described, because in an actual remote sensing image, along with changes of conditions such as ambient light, the change of the overall or large-range key of the remote sensing image is caused, so that the difference value calculation of the color feature is directly performed through the remote sensing image when no person enters from the history, the feature condition cannot be effectively judged (the influence of the change of the environmental key can cause the generation of a larger difference value), so that the gray level step change of the image itself is firstly used for generating a matrix of a change step, and then the difference value calculation is performed with the initial matrix, so that the positioning of garbage is realized, and the positions of objects such as the garbage in the output image can be more obviously and easily identified through assignment of 0 and 1.
As another preferred embodiment of the present invention, the remote sensing image acquisition module 100 includes an image generation unit;
the image generation unit is used for acquiring a plurality of groups of basic remote sensing images through remote sensing equipment, carrying out stacking matching on the plurality of groups of basic remote sensing images so as to identify the motion characteristic objects in the plurality of groups of basic remote sensing images, eliminating the motion characteristic objects in the plurality of groups of basic remote sensing images and generating remote sensing images of the surface of the supervision and scheduling area.
In this embodiment, in the process of generating the remote sensing image, in order to achieve positioning of objects such as garbage, it is necessary to exclude objects such as personnel and animals, so that the class objects are moving objects, and therefore, the moving objects can be eliminated by means of matching and eliminating multiple groups of images; in addition, long-time cumulative exposure can be performed by a low-light-sensitivity long shutter mode to eliminate moving objects, but the former implementation effect is more excellent.
As another preferred embodiment of the present invention, the remote sensing image acquisition module 100 further includes a cycle interval determination unit;
the circulation interval determining unit is used for marking and counting a plurality of motion characteristic objects identified in stack matching to calculate and generate the motion object density of the supervision and dispatching area, the motion object density comprises a density range generated based on historical record statistics, the density range comprises a dynamic time interval range inversely proportional to the density range, when the motion object density increases, the dynamic time interval decreases, and the dynamic time interval is used for controlling generation of a next remote sensing execution request.
In this embodiment, the dynamic time interval is defined, because the probability of generating garbage or remaining objects becomes higher as the mobile crowd such as tourists in the place is more, and more garbage is likely to be accumulated on the ground in the same time period, so that maintenance personnel need to be adjusted and managed more frequently, and more frequent analysis and scheduling can be realized by setting a lower dynamic time interval.
As another preferred embodiment of the present invention, the initial gradient matrix is used for characterizing a feature gradient matrix generated based on processing of the acquired remote sensing image in a preset time period before the supervision and dispatching area is opened to the moving feature object, and the initial gradient matrix is used for performing basic inherent feature shielding on the supervision and dispatching area on the feature gradient matrix.
In this embodiment, the initial state of the location is referred to herein, for example, five minutes before the location is opened to the tourist every day, and data is acquired to obtain the initial gradient matrix, and the location may be changed differently every day or for a certain time.
As shown in fig. 3, the invention further provides a surface remote sensing monitoring method, which comprises the following steps:
and S200, generating a remote sensing execution request and responding at a preset earth surface updating time interval, and acquiring remote sensing images of the earth surface of the supervision and scheduling area through remote sensing equipment, wherein the earth surface updating time interval is a dynamic time length, and the remote sensing images are used for representing the distribution condition of object images of the earth surface.
S400, preprocessing the remote sensing image to obtain a gray level image, marking the gray level value of the pixel point of the gray level image, and calculating the gray level difference value of the adjacent pixel point in the generated gray level image to generate a corresponding characteristic gradient matrix, wherein the characteristic gradient matrix represents the distribution condition of the image characteristics.
S600, acquiring an initial gradient matrix of the supervision and dispatching area, performing difference on the characteristic gradient matrix based on the initial gradient matrix to generate a supervision object matrix, and characterizing the supervision object matrix based on a pixel matching relation between the matrix and the image to generate a supervision object distribution image.
S800, a management scheduling instruction is generated based on the management object distribution image and forwarded to the management mobile terminal through a preset communication channel, and the management scheduling instruction is used for carrying out management area reassignment on management staff of a management scheduling area based on the object distribution density of the management object distribution image and carrying out distribution marking on the management object for output.
As another preferred embodiment of the present invention, the step of generating the supervision object distribution image by characterizing the supervision object matrix based on the pixel matching relationship between the matrix and the image includes:
judging elements of rows and columns in the supervision object matrix one by one based on a preset difference threshold value, generating a judging result, and if the judging result is smaller than the preset difference threshold value, zeroing the value of the elements;
when the judging result is characterized in that the difference value is larger than or equal to the preset difference value threshold value, the value of the element is assigned as one;
and characterizing the assigned supervision object matrix into a supervision object distribution image according to the pixel matching relation between the matrix and the image, wherein the color representation of the assigned pixels with one value and zero value in the supervision object distribution image is different.
As another preferred embodiment of the present invention, the step of acquiring, by the remote sensing device, the remote sensing image of the surface of the supervisory dispatch area specifically includes:
and acquiring a plurality of groups of basic remote sensing images through remote sensing equipment, stacking and matching the plurality of groups of basic remote sensing images to identify moving characteristic objects in the plurality of groups of basic remote sensing images, eliminating the moving characteristic objects in the plurality of groups of basic remote sensing images, and generating remote sensing images of the ground surface of the supervision and scheduling area.
As another preferred embodiment of the present invention, further comprising the steps of:
marking and counting a plurality of moving characteristic objects identified in stack matching to calculate a moving object density of the supervision and dispatching area, wherein the moving object density comprises a density range generated based on historical record statistics, the density range comprises a dynamic time interval range inversely proportional to the density range, and when the moving object density increases, the dynamic time interval decreases, and the dynamic time interval is used for controlling generation of a next remote sensing execution request.
As another preferred embodiment of the present invention, the initial gradient matrix is used for characterizing a feature gradient matrix generated based on processing of the acquired remote sensing image in a preset time period before the supervision and dispatching area is opened to the moving feature object, and the initial gradient matrix is used for performing basic inherent feature shielding on the supervision and dispatching area on the feature gradient matrix.
Those skilled in the art will appreciate that all or part of the processes in the methods of the above embodiments may be implemented by a computer program for instructing relevant hardware, where the program may be stored in a non-volatile computer readable storage medium, and where the program, when executed, may include processes in the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the various embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
Other embodiments of the present disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure. This application is intended to cover any adaptations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It is to be understood that the present disclosure is not limited to the precise arrangements and instrumentalities shown in the drawings, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (10)
1. A surface remote sensing monitoring system, comprising:
the remote sensing image acquisition module is used for generating a remote sensing execution request and responding to the remote sensing execution request at a preset earth surface updating time interval, acquiring a remote sensing image of the earth surface of the supervision and scheduling area through remote sensing equipment, wherein the earth surface updating time interval is a dynamic time length, and the remote sensing image is used for representing the distribution condition of an object image of the earth surface;
the image feature processing module is used for preprocessing the remote sensing image to obtain a gray image, marking the gray value of the pixel point of the gray image, and calculating the gray difference value of the adjacent pixel point in the generated gray image to generate a corresponding feature gradient matrix, wherein the feature gradient matrix characterizes the distribution condition of the image features;
the history feature matching module is used for acquiring an initial gradient matrix of the supervision and dispatching area, performing difference on the feature gradient matrix based on the initial gradient matrix to generate a supervision object matrix, and characterizing the supervision object matrix based on a pixel matching relation between the matrix and the image to generate a supervision object distribution image;
and the remote sensing result output module is used for generating a management scheduling instruction based on the supervision object distribution image and transmitting the management scheduling instruction to the management mobile terminal through a preset communication channel, wherein the management scheduling instruction is used for carrying out supervision area reassignment on management staff in a supervision scheduling area based on the object distribution density of the supervision object distribution image and carrying out distribution marking on the supervision object for output.
2. The surface remote sensing monitoring system according to claim 1, wherein the history feature matching module comprises a characterization unit, and the characterization unit specifically comprises:
the difference filtering subunit is used for judging the elements of the rows and the columns in the supervision object matrix one by one based on a preset difference threshold value to generate a judging result, and if the judging result is smaller than the preset difference threshold value, the value of the element is zeroed;
a difference value assignment subunit, configured to assign a value of the element to one when the determination result indicates that the difference value is greater than or equal to the preset difference value threshold;
and the matrix characterization subunit is used for characterizing the assigned supervision object matrix into a supervision object distribution image according to the pixel matching relation between the matrix and the image, wherein the color representation of the assigned pixels with one value and zero value in the supervision object distribution image is different.
3. The earth's surface remote sensing monitoring system of claim 1, wherein the remote sensing image acquisition module comprises an image generation unit;
the image generation unit is used for acquiring a plurality of groups of basic remote sensing images through remote sensing equipment, carrying out stacking matching on the plurality of groups of basic remote sensing images so as to identify the motion characteristic objects in the plurality of groups of basic remote sensing images, eliminating the motion characteristic objects in the plurality of groups of basic remote sensing images and generating remote sensing images of the surface of the supervision and scheduling area.
4. A surface remote sensing monitoring system according to claim 3, wherein the remote sensing image acquisition module further comprises a cycle interval determination unit;
the circulation interval determining unit is used for marking and counting a plurality of motion characteristic objects identified in stack matching to calculate and generate the motion object density of the supervision and dispatching area, the motion object density comprises a density range generated based on historical record statistics, the density range comprises a dynamic time interval range inversely proportional to the density range, when the motion object density increases, the dynamic time interval decreases, and the dynamic time interval is used for controlling generation of a next remote sensing execution request.
5. The surface remote sensing monitoring system of claim 1, wherein the initial gradient matrix is used for characterizing a feature gradient matrix generated based on processing of acquired remote sensing images within a preset time period before the supervision and dispatch area is opened to the moving feature object, and the initial gradient matrix is used for performing basic intrinsic feature shielding on the feature gradient matrix in the supervision and dispatch area.
6. The earth surface remote sensing monitoring method is characterized by comprising the following steps:
generating a remote sensing execution request and responding at a preset earth surface updating time interval, and acquiring remote sensing images of the earth surface of a supervision and scheduling area through remote sensing equipment, wherein the earth surface updating time interval is a dynamic time length, and the remote sensing images are used for representing the distribution condition of object images of the earth surface;
preprocessing the remote sensing image to obtain a gray image, marking gray values of pixels of the gray image, and calculating gray difference values of adjacent pixels in the generated gray image to generate a corresponding characteristic gradient matrix, wherein the characteristic gradient matrix represents the distribution condition of image characteristics;
acquiring an initial gradient matrix of the supervision and scheduling area, performing difference on the characteristic gradient matrix based on the initial gradient matrix to generate a supervision object matrix, and characterizing the supervision object matrix based on a pixel matching relation between the matrix and the image to generate a supervision object distribution image;
and generating a management scheduling instruction based on the supervision object distribution image and forwarding the management scheduling instruction to the management mobile terminal through a preset communication channel, wherein the management scheduling instruction is used for carrying out supervision area reassignment on management staff of a supervision scheduling area based on the object distribution density of the supervision object distribution image and carrying out distribution marking on the supervision object for output.
7. The method of claim 6, wherein the step of characterizing the supervision object matrix based on a pixel matching relationship between the matrix and the image, and generating a supervision object distribution image comprises:
judging elements of rows and columns in the supervision object matrix one by one based on a preset difference threshold value, generating a judging result, and if the judging result is smaller than the preset difference threshold value, zeroing the value of the elements;
when the judging result is characterized in that the difference value is larger than or equal to the preset difference value threshold value, the value of the element is assigned as one;
and characterizing the assigned supervision object matrix into a supervision object distribution image according to the pixel matching relation between the matrix and the image, wherein the color representation of the assigned pixels with one value and zero value in the supervision object distribution image is different.
8. The method for monitoring the earth's surface remote sensing according to claim 6, wherein the step of acquiring the remote sensing image of the earth's surface of the supervision and dispatching area by the remote sensing device specifically comprises:
and acquiring a plurality of groups of basic remote sensing images through remote sensing equipment, stacking and matching the plurality of groups of basic remote sensing images to identify moving characteristic objects in the plurality of groups of basic remote sensing images, eliminating the moving characteristic objects in the plurality of groups of basic remote sensing images, and generating remote sensing images of the ground surface of the supervision and scheduling area.
9. The method of remote surface sensing monitoring of claim 8, further comprising the steps of:
marking and counting a plurality of moving characteristic objects identified in stack matching to calculate a moving object density of the supervision and dispatching area, wherein the moving object density comprises a density range generated based on historical record statistics, the density range comprises a dynamic time interval range inversely proportional to the density range, and when the moving object density increases, the dynamic time interval decreases, and the dynamic time interval is used for controlling generation of a next remote sensing execution request.
10. The method of claim 6, wherein the initial gradient matrix is used for characterizing a feature gradient matrix generated based on processing of the acquired remote sensing image during a preset time period before the supervision and dispatch area is opened to the moving feature object, and the initial gradient matrix is used for performing basic intrinsic feature shielding on the supervision and dispatch area on the feature gradient matrix.
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