Shooting control method and device of remote sensing satellite, remote sensing satellite and storage medium

Abstract

The invention discloses a shooting control method and device for a remote sensing satellite, the remote sensing satellite and a storage medium, and the method comprises the steps: determining a plurality of shooting regions of the remote sensing satellite according to the ephemeris data of the remote sensing satellite; determining shooting weights of the plurality of shooting areas according to the population data of the plurality of shooting areas; and controlling the remote sensing satellite to shoot the plurality of shooting areas according to the shooting weights of the plurality of shooting areas. According to the scheme, the shooting task is planned and adjusted through the population data, so that the actual application requirements of human activities can be better monitored, and the resource utilization rate is improved.

Description

Technical Field

[0001] The present application relates to the field of satellite remote sensing technology, and more specifically, to a remote sensing satellite shooting control method and device, a remote sensing satellite, and a storage medium. Background Art

[0002] Remote sensing satellite imaging mission planning is the core of key technology areas, aiming to optimize the scheduling and management of satellite imaging missions to improve efficiency and quality under the constraints of limited resources. With the increase in the number of remote sensing satellites and the expansion of their application scope, the need for mission planning has become increasingly urgent.

[0003] At present, remote sensing satellite mission planning algorithms only carry out feasibility planning for shooting targets in the time dimension, which cannot meet customized application requirements and will cause waste of resources. Summary of the invention

[0004] The embodiments of the present application provide a remote sensing satellite shooting control method and device, a remote sensing satellite, and a storage medium. The following introduces various aspects of the embodiments of the present application.

[0005] In a first aspect, a remote sensing satellite shooting control method is provided, comprising: determining multiple shooting areas of the remote sensing satellite based on the ephemeris data of the remote sensing satellite; determining shooting weights of the multiple shooting areas based on the population data of the multiple shooting areas; and controlling the remote sensing satellite to shoot the multiple shooting areas based on the shooting weights of the multiple shooting areas.

[0006] As a possible implementation manner, the shooting weights of the multiple shooting areas include a first weight, and the first weights of the multiple shooting areas are positively correlated with population densities of the multiple shooting areas.

[0007] As a possible implementation manner, determining the shooting weights of the multiple shooting areas according to the population data of the multiple shooting areas includes: determining the shooting weights of the multiple shooting areas according to the population data of the multiple shooting areas and first reference data, the first reference data including meteorological data of the multiple shooting areas, ground classification data of the multiple shooting areas and one or more of the stock data already captured by the remote sensing satellite.

[0008] As a possible implementation manner, determining the shooting weights of the multiple shooting areas according to the population data of the multiple shooting areas and the first reference data includes: determining the first weights of the multiple shooting areas according to the population data of the multiple shooting areas; determining the second weights of the multiple shooting areas according to the first reference data; and determining the shooting weights of the multiple shooting areas according to the first weights and the second weights of the multiple shooting areas.

[0009] As a possible implementation manner, the first reference data is meteorological data, and the meteorological data includes cloud coverage data of the multiple shooting areas, and the second weights of the multiple shooting areas are positively correlated with the areas of the multiple shooting areas that are not covered by clouds.

[0010] As a possible implementation manner, the first reference data is stock data captured by the remote sensing satellite, and the second weights of the multiple shooting areas are inversely correlated with the number of image data of the multiple shooting areas contained in the stock data.

[0011] As a possible implementation manner, the multiple shooting areas are grid data obtained by gridding a ground area within the observation range of the remote sensing satellite.

[0012] In a second aspect, a shooting control device for a remote sensing satellite includes: a first determination module, used to determine multiple shooting areas of the remote sensing satellite based on the ephemeris data of the remote sensing satellite; a second determination module, used to determine the shooting weights of the multiple shooting areas based on the population data of the multiple shooting areas; and a control module, used to control the remote sensing satellite to shoot the multiple shooting areas based on the shooting weights of the multiple shooting areas.

[0013] In a third aspect, a remote sensing satellite is provided, comprising a processor and a memory, wherein the memory is used to store a computer program, and the processor is used to call and run the computer program stored in the memory to control the remote sensing satellite to execute the method described in the first aspect or any implementation method of the first aspect.

[0014] According to a fourth aspect, a computer-readable storage medium is provided, on which an executable code is stored. When the executable code is executed, the method described in the first aspect or any implementation method of the first aspect can be implemented.

[0015] The present application provides a remote sensing satellite shooting control method, including: determining multiple shooting areas of the remote sensing satellite according to the ephemeris data of the remote sensing satellite; determining the shooting weights of the multiple shooting areas according to the population data of the multiple shooting areas; and controlling the remote sensing satellite to shoot the multiple shooting areas according to the shooting weights of the multiple shooting areas. The present solution plans and adjusts the shooting tasks through population data, thereby helping to better monitor the actual application needs of human activities and improve resource utilization. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a flowchart of a remote sensing satellite shooting control method provided in one embodiment of the present application.

[0017] Figure 2It is a flowchart of a remote sensing satellite shooting control method provided in another embodiment of the present application.

[0018] Figure 3 It is a structural schematic diagram of a shooting control device for a remote sensing satellite provided in one embodiment of the present application.

[0019] Figure 4 It is a schematic diagram of the structure of a remote sensing satellite provided in one embodiment of the present application. DETAILED DESCRIPTION

[0020] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments.

[0021] In the following, the terms "first" and "second" are used for descriptive purposes only and are not to be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of the embodiments of the present disclosure, unless otherwise specified, "multiple" means two or more. In addition, the use of "based on" or "according to" means openness and inclusiveness, because the process, steps, calculations or other actions "based on" or "according to" one or more of the conditions or values ​​may be based on additional conditions or values ​​beyond the described values ​​in practice.

[0022] The embodiments of the present application may be applied to satellite communication systems, etc. As an example but not a limitation, in the embodiments of the present application, the remote sensing satellite may be a low earth orbit (LEO) satellite, a medium earth orbit (MEO) satellite, a high elliptical orbit (HEO) satellite, etc.

[0023] With the development of commercial aerospace, the construction of various satellite remote sensing constellations has gradually accelerated, and the amount of remote sensing satellite data has gradually increased. Autonomous mission planning of remote sensing satellites is the core technology, which aims to rationally utilize resources, comprehensively consider multiple external factors, and improve the quality of remote sensing satellite shooting data under limited resource constraints. Traditional mission planning methods mainly rely on manual experience and cannot be planned autonomously; in related technologies, it is proposed to carry out feasibility planning of shooting targets in the time dimension, carry out large-area push-scan imaging, and form a large amount of invalid data, resulting in a waste of resources. For example, in areas with dense human activities (such as fields, ports or airports), the frequency of ground targets changes is relatively fast, and traditional monitoring methods cannot meet the time frequency requirements of monitoring. For another example, in areas with non-dense human activities (such as forest areas or desert areas), the frequency of ground targets changes is relatively slow, and traditional monitoring methods will still have a high monitoring time frequency, resulting in a waste of resources. In other words, the current shooting mission planning method cannot meet the customized application needs of high-value areas and will cause a waste of resources.

[0024] In response to the above problems, the present application provides a remote sensing satellite shooting control method, including: determining multiple shooting areas of the remote sensing satellite according to the ephemeris data of the remote sensing satellite; determining the shooting weights of the multiple shooting areas according to the population data of the multiple shooting areas; and controlling the remote sensing satellite to shoot the multiple shooting areas according to the shooting weights of the multiple shooting areas. This solution plans and adjusts the shooting tasks through population data, which helps to better monitor the actual application needs of human activities and improves resource utilization.

[0025] Combined with the following Figure 1 The shooting control method of the remote sensing satellite in the embodiment of the present application is described in detail. Figure 1 As shown, the remote sensing satellite shooting control method 100 may include steps: S110 to S130.

[0026] In step S110, a plurality of shooting areas of the remote sensing satellite are determined according to the ephemeris data of the remote sensing satellite.

[0027] Ephemeris data is also called ephemeris table. Ephemeris data refers to a table of celestial body orbital parameters, that is, a table of data that describes the expected position of a celestial body at a certain time interval, or the expected position of a man-made satellite at a certain time interval. Ephemeris data contains the orbital parameters of the satellite, which can be used to predict the position and attitude of the satellite at a certain point in the future.

[0028] The multiple shooting areas of the remote sensing satellite may refer to areas on the earth's surface that can be photographed by the remote sensing satellite.

[0029] In some implementations, the plurality of shooting areas are grid data (ie, ground grid data) obtained by gridding a ground area within an observation range of a remote sensing satellite.

[0030] In some implementations, the ground grid data may be divided into grids based on the geographical area range captured by a remote sensing satellite in a single shot. It should be understood that the area range of each grid corresponds to the geographical area range captured by a remote sensing satellite in a single shot, that is, multiple shooting areas correspond to multiple grid areas.

[0031] In step S120, shooting weights of the plurality of shooting areas are determined according to the population data of the plurality of shooting areas.

[0032] The population data of the plurality of shooting areas may be based on population density distribution data of the world population provided by the United Nations.

[0033] It should be noted that the shooting weights of the multiple shooting areas may refer to the shooting weight of each shooting area in the multiple shooting areas, that is, each shooting area has a shooting weight.

[0034] It is understandable that since the frequency of ground targets changing is faster in areas with dense human activities (such as fields, ports or airports), users hope to increase the frequency of shooting in densely populated areas; at the same time, since the frequency of ground targets changing is slower in areas with non-dense human activities (such as forests or deserts), users hope to reduce the frequency of shooting in non-densely populated areas.

[0035] That is, the shooting weights of the multiple shooting areas are positively correlated with the population density of the multiple shooting areas. That is, the shooting weights of the multiple shooting areas include a first weight, and the first weights of the multiple shooting areas are positively correlated with the population density of the multiple shooting areas. It should be understood that the shooting weights of the multiple shooting areas include the first weight, which may mean that the shooting weights of each shooting area in the multiple shooting areas include the first weight.

[0036] As an example, the first weight may refer to the ratio of the population of each shooting area to the population base. For example, 20,000 people may be used as the population base of each shooting area. If the population of a shooting area is 10,000 people, the first weight is 10,000 / 20,000, that is, the first weight is 0.5.

[0037] In step S130, the remote sensing satellite is controlled to photograph the multiple photographing areas according to the photographing weights of the multiple photographing areas.

[0038] Based on the above content, it can be seen that this scheme plans and adjusts the shooting tasks through population data, which helps to better monitor the actual application needs of human activities and improve resource utilization.

[0039] Since remote sensing satellite photography is affected by factors such as the meteorological data of the shooting location (such as weather, cloud cover, etc.), the ground classification of the shooting area, and the stock data already captured by the remote sensing satellite, the above-mentioned influencing factors can be considered when determining the shooting weights of multiple shooting areas.

[0040] In some implementations, shooting weights of the multiple shooting areas are determined based on population data of the multiple shooting areas and first reference data, and the first reference data may include one or more of the following: meteorological data of the multiple shooting areas, ground classification data of the multiple shooting areas, and stock data captured by remote sensing satellites.

[0041] That is to say, the weight of the population data in the shooting area and the weight of the first reference data in the shooting area can be integrated. For example, the first weights of the multiple shooting areas are determined based on the population data of the multiple shooting areas; the second weights of the multiple shooting areas are determined based on the first reference data; and then, the shooting weights of the multiple shooting areas are determined based on the first weights and the second weights of the multiple shooting areas.

[0042] In the embodiment of the present application, there is no specific limitation on the fusion method of the first weight and the second weight. For example, the product of the first weight and the second weight can be used as the shooting weight of the shooting area. For another example, the first weight and the second weight can be weighted and summed to serve as the shooting weight of the shooting area; wherein the weighting factors of the first weight and the second weight can be set as required. For example, the weighting factor of the first weight can be 0.7, and the weighting factor of the second weight can be 0.3; for another example, the weighting factor of the first weight can be 0.5, and the weighting factor of the second weight can be 0.5.

[0043] In some implementations, if the first reference data is meteorological data, and the meteorological data includes cloud coverage data of multiple shooting areas, the second weights of the multiple shooting areas are positively correlated with the areas of the multiple shooting areas that are not covered by clouds.

[0044] As an example, the first reference data is meteorological data, and the second weight = 1-the area of ​​the shooting area covered by clouds / the area of ​​the shooting area. That is, if the shooting area is not covered by clouds (the area of ​​the shooting area covered by clouds is 0), the second weight value is 1; if half of the shooting area is covered by clouds, the second weight value is 0.5; if the shooting area is completely covered by clouds, the second weight value is 0.

[0045] In some implementations, the first reference data is stock data captured by a remote sensing satellite, and the second weights of the multiple shooting areas are inversely correlated with the number of image data of the multiple shooting areas included in the stock data.

[0046] As an example, the first reference data is the stock data captured by the remote sensing satellite, and the second weight = 1-stock data of a certain shooting area / total stock data. First, the ratio of the stock data of each shooting area to the total stock data is calculated, and on this basis, the weight of the stock data of each shooting area (i.e., the second weight) is calculated. If the total stock data is 100 pictures, and the stock data of a certain shooting area is 2 pictures, then the second weight of the shooting area is 0.98; if a shooting area has no stock data (i.e., no picture coverage), the second weight is 1.

[0047] In some implementations, ground classification may refer to different types of ground, such as city, farmland, forest, desert, etc.

[0048] In an embodiment of the present application, different weights can be set for different ground classifications. For example, if a shooting area includes more urban and farmland areas, a larger shooting weight can be set for the shooting area; for another example, if a shooting area includes more forest or desert areas, a smaller shooting weight can be set for the shooting area.

[0049] The weight of the ground classification can be set according to demand, and this application does not impose specific restrictions on this. For example, the weight of farmland can be set to 1, the weight of the city can be set to 0.8, the weight of the forest can be set to 0.5, and the weight of the desert can be set to 0.2. As an example, the first reference data is the ground classification. If the shooting area is farmland, the second weight can be 1; if the shooting area is a city, the second weight can be 0.8; if the shooting area is a forest, the second weight can be 0.5; if the shooting area is a desert, the second weight can be 0.2. Of course, a shooting area can include multiple ground classifications. If half of a shooting area is farmland and half is a city, the second weight can be 0.9 (0.5*1+0.5*0.8), and so on, which will not be described in detail here.

[0050] It should be noted that the weights of the meteorological data of the shooting area, ground classification, and stock data captured by remote sensing satellites in the shooting area can be fused to obtain a second weight. This application does not specifically limit the fusion method of the multiple weights. For example, the multiple weights can be weighted and summed to obtain the second weight; for another example, the multiple weights can be multiplied to obtain the second weight.

[0051] In some implementations, before controlling the remote sensing satellite to shoot multiple shooting areas, it also includes adjusting the shooting parameters of the remote sensing satellite, and the shooting parameters include one or more of the following: the shooting time of the remote sensing satellite for the shooting area; the side swing parameters (such as the side swing angle) of the remote sensing satellite for the shooting area; the shooting midpoint of the remote sensing satellite for the shooting area.

[0052] The following describes the embodiments of the present application in more detail with reference to specific examples. Figure 2 It is only to help those skilled in the art understand the embodiments of the present application, rather than to limit the embodiments of the present application to the specific values ​​or specific scenarios illustrated. Those skilled in the art can obviously make various equivalent modifications or changes based on the examples given, and such modifications or changes also fall within the scope of the embodiments of the present application.

[0053] Figure 2 Another remote sensing satellite shooting control method provided in the embodiment of the present application is shown in FIG. Figure 2 , the shooting control method may include the following steps: S201~S209.

[0054] In step S201: updating the ephemeris data. It should be understood that the remote sensing satellite can periodically update its ephemeris data to obtain more accurate satellite orbit data required for mission planning.

[0055] In step S202: a plurality of grid areas that can be photographed are obtained.

[0056] In some implementations, multiple grid areas that can be photographed may be determined based on the photographing conditions of the remote sensing satellite and ground grid data obtained from a ground grid system.

[0057] The shooting conditions of the remote sensing satellite may refer to the shooting light of the remote sensing satellite. If the remote sensing satellite is located in a dark area on the back of the earth, the shooting conditions of the remote sensing satellite do not meet the requirements, and the remote sensing satellite cannot shoot. If the remote sensing satellite is located in an illuminated area on the front of the earth, the shooting conditions of the remote sensing satellite meet the requirements, and the remote sensing satellite can shoot.

[0058] The ground grid system divides the earth's surface into a series of grids, each grid representing a specific geographical location. The size of the grid area can be set according to actual needs, for example, it can be determined according to the single-shot field of view of the remote sensing satellite or the resolution of the remote sensing satellite.

[0059] In step S203: cloud cover data for each grid area is generated. For example, cloud cover data (also referred to as cloud layer data) for each grid area may be generated based on weather forecast data.

[0060] In step S204: the shooting weight of the photographable grid area is updated according to the cloud cover data. For example, the cloud cover weight of each grid area is generated according to the coverage of the cloud cover data in each grid area, and the shooting weight of the photographable grid area is updated according to the cloud cover weight of each grid area.

[0061] In step S205: the population density weight of each grid area is generated. For example, the population density weight of each grid area can be generated based on the population quantity data of the world population.

[0062] In step S206: the shooting weight of the shootable grid area is updated according to the population density weight of each grid area.

[0063] In step S207: generating the stock weight of each grid area. For example, the stock weight of each grid area can be generated based on the stock data captured by the remote sensing satellite.

[0064] In step S208: the shooting weight of the latest shootable grid area is updated according to the stock weight of each grid area.

[0065] In step S209: multiple shooting tasks are generated according to the latest shooting weights of the shootable grid areas. For example, multiple grid areas can be sorted in descending order of the shooting weights updated three times to obtain a grid area sequence; then, multiple shooting tasks are generated in sequence according to the order of the grid areas in the grid area sequence, and the shooting parameters of the remote sensing satellite are adjusted based on the multiple shooting tasks (the shooting parameters include the start time, the side swing parameters (such as the side swing angle), the shooting midpoint, etc.). It should be understood that the remote sensing satellite will automatically select a high-weight shooting task according to the task priority.

[0066] According to the above process, this solution mainly considers the impact of population density on the shooting weights of multiple shooting areas, so that remote sensing satellites can increase the shooting frequency of shooting areas with larger population density and reduce the shooting frequency of shooting areas with smaller population density, which helps to better monitor the actual application needs of human activities and improve resource utilization. Furthermore, the shooting weights of each shooting area are adjusted by considering the meteorological data, ground classification and stock data of the shooting area captured by remote sensing satellites, which further improves the shooting effect of remote sensing images, improves resource utilization and reduces redundant storage of server space.

[0067] Combination of the above Figure 1 to Figure 2 The method embodiment of the present application is described in detail. Figure 3 to Figure 4 The device embodiment of the present application is described in detail. It should be understood that the description of the method embodiment corresponds to the description of the device embodiment, so the parts not described in detail can refer to the previous method embodiment.

[0068] Figure 3 FIG. 3 is a schematic diagram of the structure of a remote sensing satellite shooting control device provided by an embodiment of the present application. The remote sensing satellite shooting control device 300 may include a first determination module 310 , a second determination module and a control module 330 .

[0069] A first determination module 310 is used to determine a plurality of shooting areas of the remote sensing satellite according to the ephemeris data of the remote sensing satellite;

[0070] A second determining module 320, configured to determine the shooting weights of the plurality of shooting areas according to the population data of the plurality of shooting areas;

[0071] The control module 330 is used to control the remote sensing satellite to photograph the multiple photographing areas according to the photographing weights of the multiple photographing areas.

[0072] Optionally, the shooting weights of the multiple shooting areas include a first weight, and the first weights of the multiple shooting areas are positively correlated with the population density of the multiple shooting areas.

[0073] Optionally, the second determination module 320 is used to determine the shooting weights of the multiple shooting areas based on population data of the multiple shooting areas and first reference data, wherein the first reference data includes one or more of meteorological data of the multiple shooting areas, ground classification data of the multiple shooting areas and stock data obtained by the remote sensing satellite.

[0074] Optionally, the second determination module 320 is used to: determine first weights of the multiple shooting areas according to population data of the multiple shooting areas; determine second weights of the multiple shooting areas according to the first reference data; and determine shooting weights of the multiple shooting areas according to the first weights and the second weights of the multiple shooting areas.

[0075] Optionally, the first reference data is meteorological data, and the meteorological data includes cloud coverage data of the multiple shooting areas, and the second weights of the multiple shooting areas are positively correlated with the areas of the multiple shooting areas that are not covered by clouds.

[0076] Optionally, the first reference data is stock data captured by the remote sensing satellite, and the second weights of the multiple shooting areas are inversely correlated with the number of image data of the multiple shooting areas contained in the stock data.

[0077] Optionally, the multiple shooting areas are grid data obtained by gridding a ground area within the observation range of the remote sensing satellite.

[0078] Combine the following Figure 4 This is an introduction to a remote sensing satellite 400 in an embodiment of the present application. The remote sensing satellite 400 can be used to implement the method described in the above method embodiment.

[0079] It should be understood that the remote sensing satellite 400 can be applied to any type of remote sensing satellite mentioned above.

[0080] The remote sensing satellite 400 may include one or more processors 410. The processor 410 may support the remote sensing satellite 400 to implement the method described in the above method embodiment.

[0081] The processor 410 may be a general-purpose processor or a special-purpose processor. For example, the processor may be a central processing unit (CPU). Alternatively, the processor may be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or the processor may be any conventional processor, etc.

[0082] The remote sensing satellite 400 may further include one or more memories 420. The memories 420 store programs that can be executed by the processor 410 to control the remote sensing satellite 400 to execute the method described in the above method embodiment. The memories 420 may be independent of the processor 410 or integrated in the processor 410.

[0083] The remote sensing satellite 400 may further include a transceiver 430. The processor 410 may communicate with other devices through the transceiver 430. For example, the processor 410 may transmit and receive data with other devices through the transceiver 430.

[0084] The present application also provides a chip in an embodiment, including a processor, which can be used to call and run a computer program from a memory, so that a device equipped with the chip performs the method described in the above method embodiment. It is understood that the processor can be any type of processor mentioned above. It is understood that the memory can be independent of the chip or integrated in the chip.

[0085] The embodiment of the present application also provides a machine-readable storage medium for storing a program, and the program enables a computer to execute the method in each embodiment of the present application.

[0086] The embodiment of the present application also provides a computer program product. The computer program product includes a program. The program enables a computer to execute the method in each embodiment of the present application.

[0087] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function described in the embodiment of the present disclosure is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a machine-readable storage medium, or transmitted from one machine-readable storage medium to another machine-readable storage medium. For example, the computer instructions can be transmitted from a website site, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (Digital Subscriber Line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center. The machine-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more available media integrations. The available medium may be a magnetic medium (eg, a floppy disk, a hard disk, a magnetic tape), an optical medium (eg, a digital video disc (DVD)), or a semiconductor medium (eg, a solid state disk (SSD)).

[0088] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments of the present disclosure can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present disclosure.

[0089] In the several embodiments provided in the present disclosure, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0090] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0091] In addition, each functional unit in each embodiment of the present disclosure may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0092] The above is only a specific embodiment of the present disclosure, but the protection scope of the present disclosure is not limited thereto. Any person skilled in the art who is familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present disclosure, which should be included in the protection scope of the present disclosure. Therefore, the protection scope of the present disclosure should be based on the protection scope of the claims.

Claims

1. A remote sensing satellite shooting control method, characterized in that: include: Determining a plurality of shooting areas of the remote sensing satellite according to the ephemeris data of the remote sensing satellite; determining shooting weights of the plurality of shooting areas according to population data of the plurality of shooting areas; The remote sensing satellite is controlled to photograph the multiple shooting areas according to the shooting weights of the multiple shooting areas.

2. The method according to claim 1, characterized in that The shooting weights of the plurality of shooting areas include a first weight, and the first weight of the plurality of shooting areas is positively correlated with the population density of the plurality of shooting areas.

3. The method according to claim 1, characterized in that: The determining the shooting weights of the plurality of shooting areas according to the population data of the plurality of shooting areas comprises: The shooting weights of the multiple shooting areas are determined based on the population data of the multiple shooting areas and the first reference data, wherein the first reference data includes one or more of the meteorological data of the multiple shooting areas, the ground classification data of the multiple shooting areas and the stock data already captured by the remote sensing satellite.

4. The method according to claim 3, characterized in that The determining the shooting weights of the plurality of shooting areas according to the population data of the plurality of shooting areas and the first reference data comprises: determining first weights of the plurality of shooting areas according to population data of the plurality of shooting areas; determining second weights of the plurality of shooting areas according to the first reference data; The photographing weights of the plurality of photographing areas are determined according to the first weights and the second weights of the plurality of photographing areas.

5. The method according to claim 4, characterized in that The first reference data is meteorological data, and the meteorological data includes cloud coverage data of the multiple shooting areas, and the second weights of the multiple shooting areas are positively correlated with the areas of the multiple shooting areas that are not covered by clouds.

6. The method according to claim 4, characterized in that The first reference data is stock data obtained by the remote sensing satellite, and the second weights of the multiple shooting areas are inversely correlated with the number of image data of the multiple shooting areas included in the stock data.

7. The method according to any one of claims 1 to 6, characterized in that The multiple shooting areas are grid data obtained by gridding the ground area within the observation range of the remote sensing satellite.

8. A remote sensing satellite shooting control device, characterized in that: include: A first determination module is used to determine a plurality of shooting areas of the remote sensing satellite according to the ephemeris data of the remote sensing satellite; A second determining module, configured to determine the shooting weights of the plurality of shooting areas according to the population data of the plurality of shooting areas; The control module is used to control the remote sensing satellite to photograph the multiple shooting areas according to the shooting weights of the multiple shooting areas.

9. A remote sensing satellite, characterized in that: include: A processor, a memory and a transceiver, wherein the memory is used to store a computer program, and the processor is used to call and run the computer program stored in the memory to control the remote sensing satellite to execute the method as described in any one of claims 1 to 7.

10. A computer-readable storage medium having executable code stored thereon, characterized in that: The code is used to implement the method according to any one of claims 1 to 7.

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