Method and device for evaluating performance of satellite remote sensing data, equipment and medium

Abstract

The application provides a method and device for evaluating the performance of satellite remote sensing data, equipment and medium, and relates to the technical field of information value evaluation. The method comprises the following steps: acquiring a remote sensing image; determining the data information value of the remote sensing image, wherein the data information value is determined based on the observation target value, three-dimensional value, data timeliness value and data repeatability value of the remote sensing image; determining the image quality value of the remote sensing image; determining the comprehensive value of the remote sensing image based on the data information value and the image quality value; and evaluating the data performance of the remote sensing image based on the comprehensive value.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of information value evaluation, and in particular to a satellite remote sensing data efficiency evaluation method, device, equipment and medium. BACKGROUND

[0002] Satellite remote sensing images are observed from an altitude of several hundred kilometers, which has the advantage of a large coverage range, but also brings the problems of large storage data volume and low high-value information content. With the increasing number of satellites in orbit, the amount of remote sensing image data captured by satellites in real time and archived is huge. Due to factors such as information duplication and reduced effectiveness, the high-value information contained in the remote sensing image data is further reduced. In order to reasonably manage the massive remote sensing image data and effectively utilize the remote sensing image data, it is necessary to quantitatively evaluate the value of the remote sensing image data as a basis for guiding the management and use of satellite remote sensing data.

[0003] The existing evaluation method of satellite remote sensing data value has many deficiencies. First, the existing method quantitatively evaluates remote sensing data by setting value factors and weights, which cannot reflect the differences in data value in multiple different aspects of remote sensing data. For example, remote sensing data with the same score may have different information value and image quality value, and their management and use strategies should also be different. Second, the existing method only evaluates the value of two-dimensional spatial information contained in remote sensing images and does not consider the three-dimensional acquisition capability of the special imaging mode of remote sensing images. Satellite stereo imaging mode consumes higher satellite platform resources, and compared with conventional two-dimensional remote sensing images, the stereo image data obtained by satellite stereo imaging mode contains important spatial three-dimensional information and has higher data value. SUMMARY

[0004] In view of the above problems, the present application provides a satellite remote sensing data efficiency evaluation method, device, equipment and medium.

[0005] According to a first aspect of the present application, a satellite remote sensing data efficiency evaluation method is provided, comprising: acquiring remote sensing images; determining the data information value of the remote sensing images, wherein the data information value is determined based on the observation target value, three-dimensional stereo value, data timeliness value and data repeatability value of the remote sensing images; determining the image quality value of the remote sensing images; determining the comprehensive value of the remote sensing images based on the data information value and the image quality value; and evaluating the data efficiency of the remote sensing images based on the comprehensive value.

[0006] According to an embodiment of the present application, the determining of the data information value of the remote sensing image comprises: evaluating an observation target value of the remote sensing image based on a data quantity and a data importance index of the remote sensing image; evaluating a three-dimensional value of the remote sensing image based on an imaging mode of the remote sensing image; evaluating a data timeliness value of the remote sensing image based on an acquisition time of the remote sensing image; evaluating a data repeatability value of the remote sensing image based on a standard scene production frequency of the remote sensing image; and calculating the data information value of the remote sensing image based on the observation target value, the three-dimensional value, the data timeliness value and the data repeatability value.

[0007] According to an embodiment of the present application, the calculation of the data information value of the remote sensing image based on the observation target value, the three-dimensional value, the data timeliness value and the data repeatability value is as follows:

[0008] P m =(M m +M s )*M t *M c

[0009] wherein, P m represents the data information value, M m represents the observation target value, M s represents the three-dimensional value, M t represents the data timeliness value, and M c represents the data repeatability value.

[0010] According to an embodiment of the present application, the determining of the image quality value of the remote sensing image comprises: obtaining factor parameters required for determining the image quality value of the remote sensing image, wherein the factor parameters comprise cloud cover, absolute positioning accuracy, relative geometric accuracy, absolute radiation accuracy, relative radiation accuracy, definition, contrast, signal-to-noise ratio and color restoration degree of the remote sensing image; and determining the image quality value of the remote sensing image based on the factor parameters.

[0011] According to an embodiment of the present application, the calculation of the image quality value of the remote sensing image based on the factor parameters is as follows:

[0012]

[0013]

[0014] wherein, P z represents the image quality value, i represents the factor parameter, Z i (i=1, 2,..., 9) represents a score result corresponding to the cloud cover, the absolute positioning accuracy, the relative geometric accuracy, the absolute radiation accuracy, the relative radiation accuracy, the definition, the contrast, the signal-to-noise ratio and the color restoration degree factor parameter respectively, and Z ci(i=i, 2, …, 9) respectively represent the system quality inspection results corresponding to the cloud amount, absolute positioning accuracy, relative geometric accuracy, absolute radiation accuracy, relative radiation accuracy, definition, contrast, signal-to-noise ratio and color restoration degree factor parameters of the standard scene to be evaluated, Z bi (i=i, 2, …, 9) respectively represent the design indicators corresponding to the cloud amount, absolute positioning accuracy, relative geometric accuracy, absolute radiation accuracy, relative radiation accuracy, definition, contrast, signal-to-noise ratio and color restoration degree factor parameters of the standard scene to be evaluated.

[0015] According to the embodiment of the present application, the comprehensive value of the remote sensing image is determined based on the data information value and the image quality value, which comprises: according to the value degree of the data information value, the data information value is graded to obtain a first grading result of the data information value, wherein the first grading result is:

[0016]

[0017] Wherein, P m represents the data information value; according to the value degree of the image quality value, the image quality value is graded to obtain a second grading result of the image quality value, wherein the second grading result is:

[0018]

[0019] Wherein, P z represents the image quality value; based on the first grading result and the second grading result, the comprehensive value of the remote sensing image is determined according to the two-dimensional matrix method.

[0020] The second aspect of the present application provides an evaluation device for satellite remote sensing data efficiency, comprising: a first acquisition module for acquiring remote sensing images; a first determination module for determining the data information value of the remote sensing image, wherein the data information value is determined based on the observation target value, three-dimensional value, data timeliness value and data repeatability value of the remote sensing image; a second determination module for determining the image quality value of the remote sensing image; a third determination module for determining the comprehensive value of the remote sensing image based on the data information value and the image quality value; an evaluation module for evaluating the data efficiency of the remote sensing image based on the comprehensive value.

[0021] The third aspect of the present application provides an electronic device, comprising: one or more processors; a memory for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors execute the above-mentioned method.

[0022] The fourth aspect of the present application also provides a computer readable storage medium having stored thereon executable instructions that, when executed by a processor, cause the processor to perform the above method.

[0023] The fifth aspect of the present application also provides a computer program product comprising a computer program which, when executed by a processor, implements the above method.

[0024] According to the method, device, equipment, medium and program product for evaluating the value of satellite remote sensing data provided by the present application, the data value of satellite remote sensing image is evaluated from two aspects of data information value and image quality value, and the evaluation results of two independent levels are given, which can reflect the data value difference of remote sensing data in different aspects, and the spatial stereo information obtained by satellite three-dimensional imaging mode is also considered as an important information value factor, instead of being limited to two-dimensional remote sensing image information, so that the problem that the existing method cannot reflect the data value difference of remote sensing data in multiple different aspects is at least partially solved. BRIEF DESCRIPTION OF DRAWINGS

[0025] The above content and other purposes, features and advantages of the present application will be more apparent from the following description of the embodiments of the present application with reference to the accompanying drawings, in which:

[0026] Figure 1 A flow chart of the method for evaluating the efficiency of satellite remote sensing data according to an embodiment of the present application is schematically shown;

[0027] Figure 2 A two-dimensional matrix diagram of the comprehensive value in the method for evaluating the efficiency of satellite remote sensing data according to an embodiment of the present application is schematically shown;

[0028] Figure 3 A structure block diagram of the evaluation device for satellite remote sensing data efficiency according to an embodiment of the present application is schematically shown; and

[0029] Figure 4 A block diagram of an electronic device suitable for implementing the method for evaluating the efficiency of satellite remote sensing data according to an embodiment of the present application is schematically shown. DETAILED DESCRIPTION

[0030] In order to make the objects, technical solutions and advantages of the present application clearer, the following further describes the present application with reference to the embodiments and the accompanying drawings. Obviously, the described embodiments are only some of the embodiments of the present application, but not all the embodiments. Based on the embodiments of the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort should fall within the scope of the present application. The terms used herein are only used to describe the specific embodiments, and are not intended to limit the present application. The terms "comprise", "contain", and the like used herein indicate the existence of the features, steps, operations and / or components, but do not exclude the existence or addition of one or more other features, steps, operations or components.

[0031] In the present application, unless otherwise explicitly specified and limited, the terms "mount", "connect", "connect", "fix", and the like should be understood in a broad sense, for example, can be fixedly connected, or can be detachably connected, or integrated; can be mechanically connected, or electrically connected or can communicate with each other; can be directly connected, or indirectly connected through an intermediate medium, can be the internal communication of two elements or the interaction relationship between two elements. For those of ordinary skill in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0032] In the description of the present application, it should be understood that the terms "longitudinal", "length", "circumferential", "front", "back", "left", "right", "top", "bottom", "inner", "outer" and the like indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the subsystems or elements referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore should not be understood as limiting the present application.

[0033] Throughout the drawings, the same elements are denoted by the same or similar reference numerals. When it may cause confusion in understanding the present application, the conventional structure or configuration will be omitted. And the shape, size, positional relationship of the components in the drawings do not reflect the true size, proportion and actual positional relationship. In addition, in the claims, any reference symbol located between parentheses should not be construed as a limitation on the claims.

[0034] Similarly, to the extent that there are aspects of the application described in this application for patent as following the teachings of the present application, those aspects can also be applicable to any embodiment of the application, and not just the embodiments explicitly described or otherwise specifically listed in the description. Salient features of the applications, regardless of whether they are

[0035] In addition, the terms "first", "second", and the like, are used herein only to describe various elements, and do not imply a relative importance or a specific order of precedence. Thus, a feature defined with "first" or "second" can implicitly or explicitly include one or more of the features. In the description of the application, the meaning of "a plurality" is at least two, for example, two, three, and the like, unless otherwise explicitly specified.

[0036] In the case of using expressions similar to "at least one of A, B, and C, etc.", it should generally be interpreted to include any one of A, B, or C, more than one of A, B, and C, etc.

[0037] In the technical solutions of the present application, the collection, storage, use, processing, transmission, provision, disclosure, and application of data (such as including but not limited to user personal information) involved in the technical solutions comply with the relevant legal regulations, necessary security measures are taken, and do not violate public order and good customs.

[0038] Figure 1 A flowchart of an evaluation method for satellite remote sensing data performance according to an embodiment of the present application is schematically shown.

[0039] As Figure 1 The evaluation method for satellite remote sensing data performance of the present embodiment may, for example, include operations S1-S5.

[0040] In operation S1, a remote sensing image is acquired.

[0041] In operation S2, the data information value of the remote sensing image is determined, wherein the data information value is determined based on the observation target value, the three-dimensional value, the data timeliness value, and the data repeatability value of the remote sensing image.

[0042] According to the embodiment of the present application, operation S2 may, for example, further include S200-S204.

[0043] In operation S200, the observation target value of the remote sensing image is evaluated based on the data quantity and data importance index of the remote sensing image.

[0044] In the embodiment of the present application, the observation target value M m The evaluation may, for example, be performed based on the data quantity and data importance of the remote sensing image, and the calculation formula is as follows:

[0045]

[0046] In operation S201, the three-dimensional value of the remote sensing image is evaluated based on the imaging mode of the remote sensing image.

[0047] In the embodiment of the present application, the three-dimensional value M s The evaluation may, for example, be performed according to the imaging mode, and the ordinary single scene imaging mode is rated as medium, with a score of 0, and the stereo and gaze imaging mode is rated as high, with a score of 1, and the calculation formula is as follows:

[0048]

[0049] In operation S202, the data timeliness value of the remote sensing image is evaluated based on the acquisition time of the remote sensing image.

[0050] In the embodiment of the present application, the data timeliness value M t is a time-varying reference quantity, which is evaluated according to the time from the data acquisition time to the current time, and the data timeliness gradually decreases as the data acquisition time increases, and the calculation formula is as follows:

[0051]

[0052] In operation S203, the data repeatability value of the remote sensing image is evaluated based on the standard scene production frequency of the remote sensing image.

[0053] In the embodiment of the present application, the data repeatability value M c The evaluation may, for example, be performed according to the standard scene production frequency, and the information value decreases when the same scene image is produced multiple times, and the calculation method is as follows:

[0054]

[0055] In operation S204, the data information value of the remote sensing image is calculated based on the observation target value, the three-dimensional value, the data timeliness value, and the data repeatability value.

[0056] In the embodiment of the present application, the data information value P of the remote sensing image is calculated based on the observation target value, the three-dimensional value, the data timeliness value and the data repeatability value m The calculation method is as follows:

[0057] P m = (M m + M s ) * M t * M c

[0058] Wherein, P m represents the data information value, M m represents the observation target value, M s represents the three-dimensional value, M t represents the data timeliness value, and M c represents the data repeatability value.

[0059] In operation S3, the image quality value of the remote sensing image is determined.

[0060] According to the embodiment of the present application, operation S3 may further include S300-S301.

[0061] In operation S300, the factor parameters required for determining the image quality value of the remote sensing image are obtained, wherein the factor parameters include the cloud cover, the absolute positioning accuracy, the relative geometric accuracy, the absolute radiation accuracy, the relative radiation accuracy, the definition, the contrast, the signal-to-noise ratio and the color restoration degree of the remote sensing image.

[0062] In the embodiment of the present application, the factor parameters required for determining the image quality value of the remote sensing image are the above evaluation factors, and other evaluation factors may also be used, and as long as the multiple quality factor normalization multiplication form is used to evaluate the data image quality, it belongs to the technical scheme of the present application.

[0063] In operation S301, the image quality value of the remote sensing image is determined based on the factor parameters.

[0064] In the embodiment of the present application, the calculation method for determining the image quality value of the remote sensing image based on the factor parameters is as follows:

[0065]

[0066]

[0067] Wherein, P z represents the image quality value, i represents the factor parameter, and Z i(i=1, 2, …, 9) respectively represent the scoring results corresponding to the cloud cover, absolute positioning accuracy, relative geometric accuracy, absolute radiation accuracy, relative radiation accuracy, definition, contrast, signal-to-noise ratio and color restoration degree factor parameters, Z ci (i=1, 2, …, 9) respectively represent the system inspection results corresponding to the cloud cover, absolute positioning accuracy, relative geometric accuracy, absolute radiation accuracy, relative radiation accuracy, definition, contrast, signal-to-noise ratio and color restoration degree factor parameters of the standard scene to be evaluated, Z bi (i=1, 2, …, 9) respectively represent the design indicators corresponding to the cloud cover, absolute positioning accuracy, relative geometric accuracy, absolute radiation accuracy, relative radiation accuracy, definition, contrast, signal-to-noise ratio and color restoration degree factor parameters of the standard scene to be evaluated.

[0068] In operation S4, the comprehensive value of the remote sensing image is determined based on the data information value and the image quality value.

[0069] According to the embodiments of the present application, operation S4 may, for example, further include S400-S402.

[0070] In operation S400, the data information value is classified according to the value level, and a first classification result of the data information value is obtained.

[0071] In the embodiments of the present application, in order to intuitively reflect the data classification, the data information value may, for example, be divided into three levels of high, medium and low according to the value level, and the first classification result is:

[0072]

[0073] wherein, P m represents the data information value.

[0074] In operation S401, the image quality value is classified according to the value level, and a second classification result of the image quality value is obtained.

[0075] In the embodiments of the present application, in order to intuitively reflect the image quality value classification, the image quality value may, for example, be divided into three levels of high, medium and low according to the value level, and the second classification result is:

[0076]

[0077] wherein, P z represents the image quality value.

[0078] In operation S402, the comprehensive value of the remote sensing image is determined according to the two-dimensional matrix method based on the first classification result and the second classification result.

[0079] Figure 2 A two-dimensional matrix diagram of the comprehensive value in the method for evaluating the efficiency of satellite remote sensing data according to the embodiment of the present application is schematically shown.

[0080] As shown in Figure 2 , in the method for evaluating the efficiency of satellite remote sensing data, the comprehensive value is given in the form of a two-dimensional evaluation matrix in order to fully reflect the value of satellite remote sensing data. According to the data information value and the image quality value, the data value of the remote sensing image can be divided into 9 categories. Generally, high information value data contains rich target information and has the highest data value; the data image with high data quality has better interpretation and interpretation effect, which is conducive to accurately obtaining the data value.

[0081] In operation S5, the data efficiency of the remote sensing image is evaluated based on the comprehensive value.

[0082] In the embodiment of the present application, by calculating the two-dimensional evaluation matrix of the archived data, on the one hand, the data information value of a specific image can be evaluated, which is used to guide the use of the image, for example, high information value and high data quality data are preferentially used, and in the case of data with equal data value, high data value data is preferentially used. On the other hand, the distribution of all archived data in the two-dimensional data quality evaluation matrix can be comprehensively analyzed, thereby assisting in the management of massive archived data, for example, in the case of insufficient storage space, data with low information value and low data quality can be deleted.

[0083] The method for evaluating the value of satellite remote sensing data according to the embodiment of the present application can evaluate the data value of satellite remote sensing image from two aspects of data information value and image quality value, and give the evaluation results of two independent levels, which can reflect the data value difference of remote sensing data in different aspects. At the same time, it is no longer limited to two-dimensional remote sensing image information, and the spatial stereo information obtained by satellite three-dimensional imaging mode is also considered as an important information value factor. The data information value gradually decreases with the increase of the acquisition time and the production times, and the image quality value changes in proportion to the deviation degree of each factor from the design index, which can more accurately reflect the dynamic change process of the data value of remote sensing image.

[0084] Figure 3 A structure block diagram of the evaluation device for satellite remote sensing data efficiency according to the embodiment of the present application is schematically shown.

[0085] As shown in Figure 3 , the evaluation device for satellite remote sensing data value according to the embodiment of the present application comprises a first acquisition module 301, a first determination module 302, a second determination module 303, a third determination module 304 and an evaluation module 305.

[0086] The first obtaining module 301 is configured to obtain the remote sensing image.

[0087] The first determining module 302 is configured to determine a data information value of the remote sensing image, wherein the data information value is determined based on an observation target value, a three-dimensional value, a data timeliness value and a data repeatability value of the remote sensing image.

[0088] The second determining module 303 is configured to determine an image quality value of the remote sensing image.

[0089] The third determining module 304 is configured to determine a comprehensive value of the remote sensing image based on the data information value and the image quality value.

[0090] The evaluating module 305 is configured to evaluate a data performance of the remote sensing image based on the comprehensive value.

[0091] According to the embodiments of the present application, any multiple modules of the first obtaining module 301, the first determining module 302, the second determining module 303, the third determining module 304 and the evaluating module 305 can be combined in one module, or any one of the modules can be split into multiple modules. Alternatively, at least part of the functions of one or more of the modules can be combined with at least part of the functions of other modules, and implemented in one module. According to the embodiments of the present application, at least one of the first obtaining module 301, the first determining module 302, the second determining module 303, the third determining module 304 and the evaluating module 305 can be at least partially implemented as a hardware circuit, such as a field programmable gate array (FPGA), a programmable logic array (PLA), a system on chip, a system on board, a system on package, an application specific integrated circuit (ASIC), or any other reasonable manner of integrating or packaging a circuit, etc. hardware or firmware, or implemented in any one of software, hardware and firmware or in a proper combination of any of them. Alternatively, at least one of the first obtaining module 301, the first determining module 302, the second determining module 303, the third determining module 304 and the evaluating module 305 can be at least partially implemented as a computer program module which can perform corresponding functions when the computer program module is run.

[0092] It should be noted that the satellite remote sensing data value evaluation device in the embodiments of the present application corresponds to the satellite remote sensing data value evaluation method in the embodiments of the present application, and the specific implementation details and the resulting technical effects are the same, which will not be repeated here.

[0093] Figure 4 The block diagram of the electronic device adapted to implement the satellite remote sensing data value evaluation method according to the embodiments of the present application is schematically shown.

[0094] like Figure 4 As shown, an electronic device 400 according to an embodiment of the present invention includes a processor 401, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 402 or a program loaded from a storage portion 408 into a random access memory (RAM) 403. The processor 401 may include, for example, a general-purpose microprocessor (e.g., a CPU), an instruction set processor and / or an associated chipset and / or a special-purpose microprocessor (e.g., an application-specific integrated circuit (ASIC)), etc. The processor 401 may also include onboard memory for caching purposes. The processor 401 may include a single processing unit or multiple processing units for performing different actions of the method flow according to an embodiment of the present invention.

[0095] RAM 403 stores various programs and data required for the operation of electronic device 400. Processor 401, ROM 402, and RAM 403 are interconnected via bus 404. Processor 401 executes various operations of the method flow according to embodiments of the present invention by executing programs in ROM 402 and / or RAM 403. It should be noted that programs may also be stored in one or more memories other than ROM 402 and RAM 403. Processor 401 may also execute various operations of the method flow according to embodiments of the present invention by executing programs stored in one or more memories.

[0096] According to an embodiment of the present invention, the electronic device 400 may further include an input / output (I / O) interface 405, which is also connected to a bus 404. The electronic device 400 may also include one or more of the following components connected to the I / O interface 405: an input section 406 including a keyboard, mouse, etc.; an output section 407 including a cathode ray tube (CRT), liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 408 including a hard disk, etc.; and a communication section 404 including a network interface card such as a LAN card, modem, etc. The communication section 404 performs communication processing via a network such as the Internet. A drive 410 is also connected to the I / O interface 405 as needed. A removable medium 411, such as a disk, optical disk, magneto-optical disk, semiconductor memory, etc., is installed on the drive 410 as needed so that computer programs read from it can be installed into the storage section 408 as needed.

[0097] The application further provides a computer readable storage medium, which can be included in the device / apparatus / system described in the above embodiments, or can exist independently without being assembled into the device / apparatus / system. The computer readable storage medium carries one or more programs, which, when executed, implement the method according to the embodiments of the application.

[0098] According to the embodiments of the application, the computer readable storage medium can be a non-volatile computer readable storage medium, which can include, but is not limited to, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any appropriate combination thereof. In the present application, the computer readable storage medium can be any tangible medium that contains or stores a program, which can be used by or in connection with an instruction execution system, apparatus, or device. For example, according to the embodiments of the application, the computer readable storage medium can include the ROM 402 and / or the RAM 403 described above, and / or one or more memories other than the ROM 402 and the RAM 403.

[0099] The embodiments of the application also include a computer program product, which includes a computer program containing program codes for executing the method shown in the flow chart. When the computer program product is run in a computer system, the program codes are used to make the computer system implement the item recommendation method provided by the embodiments of the application.

[0100] The above functions defined in the system / apparatus of the embodiments of the application are performed when the computer program is executed by the processor 401. According to the embodiments of the application, the system, apparatus, module, unit, etc. described above can be implemented by computer program modules.

[0101] In one embodiment, the computer program can rely on a tangible storage medium such as an optical storage device, a magnetic storage device, etc. In another embodiment, the computer program can also be transmitted, distributed, and downloaded in the form of a signal on a network medium, and be downloaded and installed through the communication part 404, and / or installed from the detachable medium 411. The program codes contained in the computer program can be transmitted by any appropriate network medium, including but not limited to wireless, wired, etc., or any appropriate combination thereof.

[0102] In such embodiments, the computer program can be downloaded and installed from the network via the communication section 404, and / or installed from the removable media 411. When the computer program is executed by the processor 401, the above-described functions defined in the system of the embodiments of the present application are executed. The system, device, apparatus, module, unit, etc. described above can be realized by the computer program modules according to the embodiments of the present application.

[0103] According to the embodiments of the present application, the program code for executing the computer program provided by the embodiments of the present application can be written in any combination of one or more programming languages, and specifically, these computer programs can be implemented using high-level procedural and / or object-oriented programming language, and / or assembly / machine language. The programming language includes, but is not limited to, such as Java, C++, python, "C" language or similar programming language. The program code can be executed entirely on the user computing device, partially on the user device, partially on a remote computing device, or entirely on a remote computing device or server. In the case involving a remote computing device, the remote computing device can be connected to the user computing device through any kind of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computing device (for example, connected through the Internet by using an Internet service provider).

[0104] The flowcharts and block diagrams in the drawings illustrate the possible architectures, functions, and operations of systems, methods, and computer program products according to various embodiments of the present application. In this regard, each block in the flowcharts or block diagrams can represent a module, a program segment, or a portion of code, which contains one or more executable instructions for implementing the specified logical functions. It should also be noted that in some alternative implementations, the functions noted in the blocks can occur in a different order than that shown in the figures. For example, two blocks noted in succession can actually be executed substantially concurrently or in the opposite order, depending on the functionality involved. It should also be noted that each block in the flowcharts or block diagrams, and combinations of blocks in the flowcharts or block diagrams, can be implemented by dedicated hardware-based systems that perform the specified functions or operations, or can be implemented by a combination of dedicated hardware and computer instructions.

[0105] Those skilled in the art can understand that the features described in various embodiments of the present application and / or claims can be combined or / and integrated, even if such combinations or integrations are not explicitly described in the present application. In particular, the features described in various embodiments of the present application and / or claims can be combined and / or integrated in various combinations, without departing from the spirit and teachings of the present application. All such combinations and / or integrations fall within the scope of the present application.

[0106] The above described embodiments of the application have been described. However, these embodiments are merely meant to be illustrative and not limiting of the scope of the application. Although each of the embodiments has been described separately, this does not mean that measures from the individual embodiments cannot be used advantageously in combination. The scope of the application is defined by the claims appended hereto and their equivalents. Various alternatives and modifications can be made to the embodiments described and illustrated herein without departing from the scope of the application, which is to be limited only by the appended claims and their equivalents.

Claims

1. A method for evaluating the performance of satellite remote sensing data, characterized in that, include: Acquire remote sensing images; Determining the data information value of the remote sensing image includes: Based on the amount of data and data importance indicators of the remote sensing image, the observation target value of the remote sensing image is evaluated. Based on the imaging pattern of the remote sensing image, the three-dimensional value of the remote sensing image is evaluated. Based on the acquisition time of the remote sensing images, the timeliness value of the obtained remote sensing images is evaluated; The data repeatability value of the remote sensing image is evaluated based on the number of standard scene productions of the remote sensing image. Based on the observed target value, the three-dimensional value, the data timeliness value, and the data repeatability value, the data information value of the remote sensing image is calculated. The method for calculating the data information value of the remote sensing image based on the observed target value, the three-dimensional value, the data timeliness value, and the data repeatability value is as follows: in, Indicates the value of data information. Indicates the value of the observed target. Representing three-dimensional value, Indicates the timeliness value of data. Indicates the value of data repetition; Determining the image quality value of the remote sensing image includes: The factors required to determine the image quality value of the remote sensing image are obtained, wherein the factors include cloud cover, absolute positioning accuracy, relative geometric accuracy, absolute radiometric accuracy, relative radiometric accuracy, sharpness, contrast, signal-to-noise ratio, and color fidelity of the remote sensing image. The image quality value of the remote sensing image is determined based on the aforementioned factor parameters; Based on the value of the data information and the value of the image quality, the comprehensive value of the remote sensing image is determined; The data performance of the remote sensing imagery is evaluated based on the comprehensive value assessment.

2. The method for evaluating the performance of satellite remote sensing data according to claim 1, characterized in that, The method for calculating the image quality value of the remote sensing image based on the aforementioned factor parameters is as follows: in, Indicates the value of image quality. Representative factor parameters, This represents the scoring results corresponding to the parameters of cloud cover, absolute positioning accuracy, relative geometric accuracy, absolute radiometric accuracy, relative radiometric accuracy, sharpness, contrast, signal-to-noise ratio, and color reproduction accuracy, respectively. This represents the system quality inspection results corresponding to the parameters of cloud cover, absolute positioning accuracy, relative geometric accuracy, absolute radiometric accuracy, relative radiometric accuracy, sharpness, contrast, signal-to-noise ratio, and color reproduction of the standard scene to be evaluated. These represent the design parameters corresponding to the cloud cover, absolute positioning accuracy, relative geometric accuracy, absolute radiometric accuracy, relative radiometric accuracy, sharpness, contrast, signal-to-noise ratio, and color reproduction of the standard scene to be evaluated.

3. The method for evaluating the performance of satellite remote sensing data according to claim 1, characterized in that, The determination of the comprehensive value of the remote sensing image based on the value of the data information and the value of the image quality includes: Based on the degree of value of the data information, the data information value is classified into levels to obtain a first level classification result, wherein the first level classification result is: in, Indicates the value of data and information; Based on the degree of quality of the image, the image quality value is classified into levels to obtain a second level classification result, wherein the second level classification result is: in, Indicates the value of image quality; Based on the first and second level classification results, the comprehensive value of the remote sensing image is determined using the two-dimensional matrix method.

4. An evaluation device for satellite remote sensing data performance, comprising: The first acquisition module is used to acquire remote sensing images; The first determining module is used to determine the data information value of the remote sensing image, including: Based on the amount of data and data importance indicators of the remote sensing image, the observation target value of the remote sensing image is evaluated. Based on the imaging pattern of the remote sensing image, the three-dimensional value of the remote sensing image is evaluated. Based on the acquisition time of the remote sensing images, the timeliness value of the obtained remote sensing images is evaluated; The data repeatability value of the remote sensing image is evaluated based on the number of standard scene productions of the remote sensing image. Based on the observed target value, the three-dimensional value, the data timeliness value, and the data repeatability value, the data information value of the remote sensing image is calculated. The method for calculating the data information value of the remote sensing image based on the observed target value, the three-dimensional value, the data timeliness value, and the data repeatability value is as follows: in, Indicates the value of data information. Indicates the value of the observed target. Representing three-dimensional value, Indicates the timeliness value of data. Indicates the value of data repetition; The second determining module is used to determine the image quality value of the remote sensing image, including: The factors required to determine the image quality value of the remote sensing image are obtained, wherein the factors include cloud cover, absolute positioning accuracy, relative geometric accuracy, absolute radiometric accuracy, relative radiometric accuracy, sharpness, contrast, signal-to-noise ratio, and color fidelity of the remote sensing image. The image quality value of the remote sensing image is determined based on the aforementioned factor parameters; The third determining module is used to determine the comprehensive value of the remote sensing image based on the value of the data information and the value of the image quality. An evaluation module is used to evaluate the data performance of the remote sensing image based on the comprehensive value.

5. An electronic device, comprising: One or more processors; Storage device for storing one or more programs. Wherein, when the one or more programs are executed by the one or more processors, the one or more processors perform the method according to any one of claims 1 to 3.

6. A computer-readable storage medium having executable instructions stored thereon, which, when executed by a processor, cause the processor to perform the method according to any one of claims 1 to 3.

7. A computer program product comprising a computer program that, when executed by a processor, implements the method according to any one of claims 1 to 3.

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