Synchronous orbit satellite observation method, device, equipment and medium

Abstract

The embodiment of the application provides a synchronous orbit satellite observation method, device, equipment and medium, which can be applied to the technical field of satellite observation, and the method comprises the following steps: acquiring the geographical positions of each to-be-observed target in a target area and a preset importance degree; generating a plurality of satellite single-time coverable observation areas according to the geographical positions of each to-be-observed target and the preset importance degree; dividing the target area into a plurality of observation quadrants based on the geographical distribution of all the observation areas; and generating an overall observation sequence of the satellite based on the importance degree of the observation quadrants where each observation area is located. The synchronous observation demand of multiple targets in a large range can be considered.

Description

Technical Field

[0001] This application relates to the field of satellite observation technology, and more specifically to a method, apparatus, equipment and medium for observing geosynchronous orbit satellites. Background Technology

[0002] Geostationary orbit satellites, also known as geostationary orbit satellites, are characterized by their orbital period being the same as the Earth's rotation period. Therefore, unlike low Earth orbit satellites, geostationary orbit satellites are not limited by transit time and can continuously observe different targets within an observable area by rapidly adjusting their lens direction, thereby continuously acquiring remote sensing image data of the target or region. Satellite observation needs planning, as a crucial part of satellite mission planning, is a key step in the rational use of satellite resources to effectively meet the objectives of observation missions.

[0003] Currently, Earth observation needs are becoming increasingly diverse and complex. Earth observation missions are no longer limited to single-target observations; a single mission often requires acquiring remote sensing image data from multiple regions over a large area. Under these requirements, traditional low-Earth orbit (LEO) remote sensing satellites need to coordinate multiple satellites and conduct multiple orbits to complete a single large-scale observation mission. This approach suffers from long mission completion times and high satellite resource consumption. Considering the timeliness requirements for observations in different regions further complicates satellite planning and extends the time commitment. Therefore, traditional methods of using LEO remote sensing satellites for complex, large-scale, multi-regional observations are no longer widely applicable.

[0004] In this context, to meet the observation needs across large areas and multiple regions, it is necessary to change the traditional planning methods for low-Earth orbit (LEO) satellite observation missions. This requires fully integrating the characteristics of geostationary orbit (GEO) satellites and comprehensively considering factors such as multi-regional coverage, priority observation of important areas, and rational use of satellite resources. This will enable the rapid generation of satellite observation sequences across multiple regions to meet the requirements of the observation missions. Research and review of relevant materials indicate that current domestic and international research on multi-regional satellite observation scheduling mainly focuses on the planning of LEO satellite observations for small areas. Geostationary orbit (GEO) satellite observation planning is also limited to observations of single regions, with relatively little research on planning methods for GEO satellite observations across large areas and multiple regions. Summary of the Invention

[0005] In view of the above problems, this application provides a method, apparatus, equipment and medium for observing geostationary orbit satellites.

[0006] According to the first aspect of this application, a method for observing geostationary orbit satellites is provided, comprising:

[0007] Obtain the geographical location and preset importance of each target within the target area;

[0008] Based on the geographical location and preset importance of each target to be observed, multiple observation areas that can be covered by a single satellite are generated;

[0009] Based on the geographical distribution of all the observation areas, the target area is divided into multiple observation quadrants;

[0010] Based on the importance of the observation quadrant in which each observation region is located, an overall observation sequence for the satellite is generated.

[0011] According to an embodiment of this application, the step of generating multiple observation areas that can be covered by a single satellite based on the geographical location and preset importance of each of the observed targets includes:

[0012] Using the target to be observed with an importance greater than a preset value as the base point, an initial observation area covering multiple targets to be observed is generated based on the single imaging swath width of the satellite.

[0013] For each initial observation area, the coordinates of the center point of the initial observation area are adjusted according to the importance of all targets to be observed within the coverage area of ​​the initial observation area, thereby generating multiple observation areas that can be covered by a single satellite.

[0014] According to an embodiment of this application, the step of adjusting the center point coordinates of the initial observation area based on the importance of all targets to be observed within the coverage area of ​​the initial observation area to generate multiple observation areas that can be covered by a single satellite includes:

[0015] With the goal of maximizing the overall importance of the initial observation area and / or bringing the designated target to be observed closer to the imaging center of the observation area, the coordinates of the center point of the initial observation area are adjusted, and the importance of the designated target to be observed is greater than a preset value.

[0016] According to an embodiment of this application, dividing the target area into multiple observation quadrants based on the geographical distribution of all the observation areas includes:

[0017] Calculate the geographic distribution center of all observed areas as the center point of the target area;

[0018] Using the center point of the target area as a reference, the target area is divided into multiple observation quadrants.

[0019] According to an embodiment of this application, generating the overall satellite observation sequence based on the importance of each observation region in its respective observation quadrant includes:

[0020] Based on the sum of the importance of all observation areas within each observation quadrant, a first-level observation sequence is generated between each observation quadrant.

[0021] For each observation quadrant, a second-level observation sequence for the observation regions within the observation quadrant is generated based on the importance of each observation region within the observation quadrant.

[0022] The overall observation sequence is formed based on the first-level observation sequence and the second-level observation sequence.

[0023] According to an embodiment of this application, the method includes:

[0024] When generating the second-level observation sequence, for observation areas with importance higher than a preset threshold, multiple observations are arranged in the second-level observation sequence;

[0025] When forming the overall observation sequence, the observation areas that need to be observed multiple times are interspersed and arranged with other observation areas.

[0026] According to an embodiment of this application, the preset importance is calculated based on at least one of the fixed attributes, dynamic attributes, and observation attributes of the target to be observed;

[0027] The fixed attributes include at least one of target type and strategic value;

[0028] The dynamic attributes include at least one of the target's motion state and activity patterns;

[0029] The observation attributes include at least one of the observation urgency and the number of historical observations.

[0030] A second aspect of this application provides a geostationary orbit satellite observation device, the device comprising:

[0031] The acquisition module is used to acquire the geographical location and preset importance of each target to be observed within the target area;

[0032] The task generation module is used to generate multiple observation areas that can be covered by a single satellite based on the geographical location and preset importance of each of the targets to be observed.

[0033] The partitioning module is used to divide the target area into multiple observation quadrants based on the geographical distribution of all the observation areas;

[0034] The sequence generation module is used to generate the overall observation sequence of the satellite based on the importance of the observation quadrant in which each observation area is located.

[0035] According to a third aspect of this application, an electronic device is provided, comprising: one or more processors; and a memory for storing one or more computer programs, wherein the one or more processors execute the one or more computer programs to implement the steps of the method according to the first aspect.

[0036] According to a fourth aspect of this application, a computer-readable storage medium is provided having a computer program or instructions stored thereon, which, when executed by a processor, implement the steps of the method according to the first aspect.

[0037] According to the embodiments of this application, the importance of each region within a large area can be quantitatively assessed, and on this basis, the region set can be optimized and the coverage analysis can be performed. Regions with similar spatial distances can be merged for observation, and the observation center point of geostationary orbit satellites can be optimized and adjusted to generate observation sequences. This reduces the back-and-forth swing during satellite imaging observation, improves satellite utilization efficiency, and determines the observation frequency based on specific strategies and requirements. This quickly generates observation needs within a specific time period, which is more in line with the observation requirements of actual application scenarios. Attached Figure Description

[0038] The above-mentioned contents, other objects, features and advantages of this application will become clearer from the following description of embodiments with reference to the accompanying drawings, in which:

[0039] Figure 1 A flowchart illustrating a geostationary orbit satellite observation method according to an embodiment of this application is shown schematically.

[0040] Figure 2 This illustration schematically shows a quadrant division diagram according to an embodiment of this application;

[0041] Figure 3 The illustrations schematically show the initial second-level observation sequence in a single observation quadrant before implementing the embodiments of this application and the adjusted second-level observation sequence after implementing the embodiments of this application;

[0042] Figure 4 A schematic diagram illustrating the structure of a geostationary orbit satellite observation device according to an embodiment of this application is shown.

[0043] Figure 5 A block diagram schematically illustrates an electronic device suitable for implementing a geostationary orbit satellite observation method according to an embodiment of this application. Detailed Implementation

[0044] The embodiments of this application will now be described with reference to the accompanying drawings. However, it should be understood that these descriptions are exemplary only and are not intended to limit the scope of this application. In the following detailed description, numerous specific details are set forth to provide a thorough understanding of the embodiments of this application for ease of explanation. However, it will be apparent that one or more embodiments may be implemented without these specific details. Furthermore, descriptions of well-known structures and technologies are omitted in the following description to avoid unnecessarily obscuring the concepts of this application.

[0045] The terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the scope of this application. The terms “comprising,” “including,” etc., as used herein indicate the presence of the stated features, steps, operations, and / or components, but do not exclude the presence or addition of one or more other features, steps, operations, or components.

[0046] All terms used herein (including technical and scientific terms) have the meanings commonly understood by those skilled in the art, unless otherwise defined. It should be noted that the terms used herein are to be interpreted in a manner consistent with the context of this specification, and not in an idealized or overly rigid way.

[0047] When using expressions such as "at least one of A, B and C", they should generally be interpreted in accordance with the meaning that is commonly understood by those skilled in the art (e.g., "a system having at least one of A, B and C" should include, but is not limited to, a system having A alone, a system having B alone, a system having C alone, a system having A and B, a system having A and C, a system having B and C, and / or a system having A, B and C, etc.).

[0048] Figure 1 A flowchart illustrating a geostationary orbit satellite observation method according to an embodiment of this application is shown schematically.

[0049] like Figure 1 As shown, the geostationary orbit satellite observation method of this embodiment includes operations S110 to S140.

[0050] In operation S110, the geographical location and preset importance of each target to be observed within the target area are obtained.

[0051] According to the embodiments of this application, the target area refers to a continuous or discontinuous, wide geographical area on the Earth's surface that a geostationary satellite needs to cover during a complete observation planning mission. The delineation of this area serves as the starting point and input condition for mission planning. The target area can be large-scale and multi-regional.

[0052] According to the embodiments of this application, importance can be obtained based on a multi-dimensional evaluation model. This model can comprehensively consider the target's fixed attributes (such as target type: military base, capital, port; target size; strategic value, etc.), dynamic attributes (such as movement speed, course, activity patterns), and observation attributes (such as observation urgency, required observation frequency, historical observation intervals).

[0053] In some embodiments, the preset importance can be calculated based on at least one of the following attributes of the target to be observed: fixed attributes, dynamic attributes, and observation attributes. Fixed attributes include at least one of target type and strategic value; dynamic attributes include at least one of the target's motion state and activity patterns; and observation attributes include at least one of observation urgency and the number of historical observations.

[0054] According to embodiments of this application, importance can be quantified by assigning different weights to the aforementioned attributes, and the evaluation model can automatically calculate a quantified importance value. For example, a moving aircraft carrier (high dynamic attribute, high fixed attribute) may be assigned an extremely high importance value during wartime (high observability attribute). This importance value is the one used for comparison, calculation, and ranking in all subsequent steps.

[0055] In operation S120, multiple observation areas that can be covered by a single satellite are generated based on the geographical location and preset importance of each target to be observed.

[0056] According to the embodiments of this application, the large swath width (up to hundreds of kilometers) of a single imaging by a geostationary orbit satellite can be utilized to package multiple geographically adjacent targets into an observation area, and the satellite can simultaneously acquire information on multiple targets by imaging once it is powered on.

[0057] According to the embodiments of this application, the target with the highest importance can be selected as the base point from the uncovered targets, and an initial observation area (i.e., the initial observation region) can be generated with the satellite imaging swath as the boundary. All targets within this region are initially included. Subsequently, the coordinates of the center point of the region can be optimized and adjusted according to the importance distribution of the targets within the region, so that high-value targets are closer to the imaging center (nadir point) to obtain better imaging quality, thereby forming the observation region. This process is iterated until all targets are included in an observation region.

[0058] In some embodiments, the coordinates of the center point of the initial observation area can be adjusted to maximize the overall importance of the initial observation area and / or to bring the specified target closer to the imaging center of the observation area, and the importance of the specified target can be greater than a preset value.

[0059] In operation S130, the target area is divided into multiple observation quadrants based on the geographical distribution of all observation areas.

[0060] In some embodiments, the geographical distribution center of all observation areas can be calculated as the center point of the target area, and the target area can be divided into multiple observation quadrants based on the center point of the target area.

[0061] According to the embodiments of this application, the weighted geographic distribution center of the center points of all observation areas can be calculated, with the weight representing the importance of each observation area. Using this center point as the origin, a Cartesian coordinate system is established (e.g., with due east as the X-axis and due north as the Y-axis). Finally, using this origin, the entire target area is divided into four observation quadrants (first to fourth quadrants).

[0062] In operation S140, the overall observation sequence of the satellite is generated based on the importance of the observation quadrant in which each observation area is located.

[0063] According to the embodiments of this application, the generation of the sequence can comprehensively consider the importance of the observation area itself and the overall importance of its quadrant, with the goal of maximizing observation efficiency and minimizing the satellite maneuver path.

[0064] According to the embodiments of this application, a two-level sequence generation architecture can be adopted. First, a first-level sequence is generated between observation quadrants. For example, the quadrants are sorted according to the sum of the importance of all observation areas within each quadrant, prioritizing the observation of quadrants with higher overall importance. Then, for each quadrant, a second-level sequence is generated for its internal observation areas. For example, the order is based on the importance of each observation area itself. Finally, the first-level and second-level sequences are combined, that is, observations are performed in the order of observation quadrants and in the order of task units within each observation quadrant, thereby forming a complete overall observation sequence.

[0065] In some embodiments, when generating a second-level observation sequence, multiple observations can be arranged in the second-level observation sequence for observation areas with an importance higher than a preset threshold.

[0066] In some embodiments, when forming an overall observation sequence, observation areas that require multiple observations can be interspersed and sorted with other observation areas.

[0067] According to the embodiments of this application, dispersed targets to be observed over a large area can be aggregated and optimized into an observation area that can be covered by a single satellite observation. Observation quadrants are then divided based on geographical distribution, ultimately generating an overall observation sequence that comprehensively considers the importance of the region and quadrant. This effectively solves the core technical challenges of low planning efficiency and significant waste of satellite maneuvering resources in geostationary orbit satellite Earth observation. This scheme enables automated and intelligent conversion from discrete target points to an ordered observation plan, significantly improving the coverage speed and imaging efficiency of multi-target reconnaissance over large areas. Simultaneously, by optimizing the observation path, it greatly reduces ineffective satellite maneuvers and reciprocating oscillations, providing key technical support for extending satellite on-orbit lifespan and improving the efficiency of satellite resource utilization.

[0068] Geosynchronous orbit satellites can observe a wide area in a single image, up to hundreds of kilometers wide, thus covering multiple point targets in a single scene and enabling the acquisition of information on multiple targets in a single observation. The following is an illustrative description of this application based on this principle.

[0069] Figure 2 A schematic diagram illustrating the quadrant division of observations according to an embodiment of this application is shown. Figure 3 The illustrations schematically depict the initial second-level observation sequence within a single observation quadrant prior to the implementation of the embodiments of this application and the adjusted second-level observation sequence after the implementation of the embodiments of this application.

[0070] Given that the importance of the target to be observed (also known as the target point) is determined, the set of all target points is set as follows: The information for each target point in the set includes the target's location coordinates. and target importance index .

[0071]

[0072]

[0073] Where N represents the Nth target point in the set of targets to be observed.

[0074] Using the target importance index as the core reference, the first step is to select a set. The point with the highest importance index among the target points As the center point of a single satellite observation area, the coordinates of the center point of the first observation area are:

[0075]

[0076] by Centered on, in the set The set is formed by the target points within the satellite observation swath and their distances.

[0077]

[0078] in, any point in and the center point of the observation area distance satisfy

[0079]

[0080] At this point, we obtain the initial observation region one, which is defined by... The set of target points within a square region centered at coordinates and with sides equal to the satellite observation swath width is as follows. .

[0081] After calculating the initial observation area, the next step is to perform coverage optimization analysis on the observation area. The optimization principle is to use the target points covered by the initial observation area, combined with the weights of the target points, to recalculate the center of the set of all target points within the area. .

[0082]

[0083]

[0084] With new coordinates Centered on the satellite, a new square region with sides equal to the satellite's swath width is delineated as the optimized observation area. This optimizes regional coverage, ensuring more target points fall around the observation center's coordinates and improving target imaging quality. After the new regional coverage, points previously within the initial observation area may be outside the new area. These points are considered excluded from the current observation area and will be re-involved in regional planning later. Conversely, points previously excluded from the initial observation area may enter the new coverage area due to the shift in the observation region. These points are marked as planned target points and will not participate in subsequent new target point set coverage. After these steps, a new set of target points is formed. .

[0085] After the above steps, the first observation area is established, and parameters such as the center coordinates and the number of covered target points are obtained. After completing the target merging of the observation area, the target point with the highest target importance index is selected again from the remaining unplanned target point set. This process is repeated to obtain new observation areas until the coverage optimization of all target points in the initially input large area is completed, generating multiple satellite single observation areas and forming a set of satellite single observation areas.

[0086] To facilitate subsequent ranking of observation areas, the importance index of all single observation areas can be calculated. The calculation method is to accumulate the importance index of all target points in the region, and the result of the accumulation is the importance of the region.

[0087]

[0088] Where M is the total number of target points in the region.

[0089] At this point, all target point sets have been optimized and covered, and all have been planned as observation areas, forming an observation area set. Each element in the set Represents an observation area, in which It is represented by a matrix, where each matrix element represents the content information corresponding to an observation area.

[0090]

[0091] in, This represents the set of target points within the observation area; Indicates the coordinates of the center point of the observation area; This indicates the importance index of the observed area; This indicates the observation order for this observation area, and the corresponding values ​​will be generated after the subsequent observation sequence is planned.

[0092] After target point set optimization coverage, all target points have been assigned to their corresponding observation areas, forming an observation area set. To reduce the back-and-forth oscillation during satellite imaging reconnaissance, shorten the imaging cycle, and extend satellite lifespan, considering the importance of the observation areas, an optimal path algorithm is used within a certain planned time frame. This algorithm, combined with actual mission requirements, plans and prioritizes all observation areas, clarifying the observation order and frequency for each area, generating an optimal observation sequence, and automatically generating observation requirements within a specific period. Specific implementation includes:

[0093] Based on the generated set of observation regions, the coordinates of the center points of all observation regions within the set are... According to weight The mean value was calculated to obtain the coordinate center point of this observation mission. ,in:

[0094]

[0095]

[0096] After determining the coordinate center, a two-dimensional coordinate system is constructed using this center as the origin. The large area input is divided into four quadrants, with all observation areas located in different quadrants, such as... Figure 2 As shown. In the four quadrants, the regional importance index is selected. The highest quadrant is designated as the priority quadrant for observation.

[0097] After determining the priority observation quadrant, all observation areas within that quadrant are sorted according to their regional importance index to generate an initial observation sequence. .

[0098]

[0099] For example, there are 5 observation areas in the priority observation quadrant, and the importance index corresponding to each observation area is shown in Table 1.

[0100] Table 1

[0101] Area number Regional Importance Index Observation Area 1 0.88 Observation Area 2 1.23 Observation area 3 0.71 Observation area 4 1.62 Observation area 5 0.85

[0102] The generated initial observation sequence is as follows Figure 3 As shown in (a) of the diagram.

[0103] In practical applications, it is sometimes necessary to implement different observation frequencies for regions with different regional importance indices according to the regional importance index. Regions with high indices and key areas of concern should be observed multiple times to obtain more target point information. Without limiting the task duration, strategies for setting regional importance and observation frequency can be set based on historical experience and task requirements, as shown in Table 2.

[0104] Table 2

[0105] Regional Importance Index Observation frequency ≥1.5 3 1≤ ≤1.5 2 ≤1 1

[0106] After determining the observation frequency for each region, the observation frequency is used as the standard to avoid continuous observations of the same region, thereby achieving the acquisition of target information over a larger time range. Combined with the total number of observation regions in that quadrant, regions with high observation frequencies are interleaved and sorted with other regions. The reordered observation sequence is as follows: Figure 3 As shown in (b) of the diagram.

[0107] According to the observation strategy table, Region 4 has an importance index higher than 1.5, requiring 3 observations; Region 2 has an importance index between 1 and 1.5, requiring 2 observations. After determining the observation frequency, the original observation sequence is re-sorted to generate a new observation sequence. In the new observation sequence, Region 4 is scheduled for 3 observations, and Region 2 for 2 observations, fulfilling the operational requirement of multiple observations for key areas of interest. After completing the above sorting, the sequence planning for observation needs within this quadrant is calculated. From the remaining quadrants, the quadrant containing the region with the highest importance index is selected, and the above process is repeated until the observation needs for all quadrants are sorted.

[0108] In this way, the observation sequences of all observation quadrants are merged to generate the overall satellite observation sequence, which is the planning scheme for the multi-target observation needs in this large area. This can be directly uploaded to the satellite as the basis for satellite scheduling.

[0109] Based on the above-described geostationary orbit satellite observation method, this application also provides a geostationary orbit satellite observation device. The following will be combined with... Figure 4 A detailed description of the geostationary orbit satellite observation device is provided.

[0110] Figure 4 A schematic block diagram of a geostationary orbit satellite observation device according to an embodiment of this application is shown.

[0111] like Figure 4 As shown, the geostationary orbit satellite observation device of this embodiment includes an acquisition module 310, a mission generation module 320, a partitioning module 330, and a sequence generation module 340.

[0112] The acquisition module 310 is used to acquire the geographical location and preset importance of each target to be observed within the target area. In one embodiment, the acquisition module 310 can be used to perform the operation S210 described above, which will not be repeated here.

[0113] The task generation module 320 is used to generate multiple observation areas that can be covered by a single satellite based on the geographical location and preset importance of each target to be observed. In one embodiment, the task generation module 320 can be used to perform the operation S120 described above, which will not be repeated here.

[0114] The partitioning module 330 is used to divide the target area into multiple observation quadrants based on the geographical distribution of all observation areas. In one embodiment, the partitioning module 330 can be used to perform the operation S130 described above, which will not be repeated here.

[0115] The sequence generation module 340 is used to generate the overall observation sequence of the satellite based on the importance of each observation region in the observation quadrant. In one embodiment, the sequence generation module 340 can be used to perform the operation S240 described above, which will not be repeated here.

[0116] According to the implementation of this application, based on the geographical location and preset importance of each target to be observed, multiple observation areas that can be covered by a single satellite are generated, including: taking the target to be observed with an importance greater than a preset value as the base point, generating an initial observation area covering multiple targets to be observed based on the single imaging swath width of the satellite; for each initial observation area, adjusting the coordinates of the center point of the initial observation area according to the importance of all targets to be observed within the coverage area of ​​the initial observation area, thereby generating multiple observation areas that can be covered by a single satellite.

[0117] According to the implementation of this application, based on the importance of all targets to be observed within the coverage area of ​​the initial observation area, the coordinates of the center point of the initial observation area are adjusted to generate multiple observation areas that can be covered by a single satellite, including: adjusting the coordinates of the center point of the initial observation area with the goal of maximizing the overall importance of the initial observation area, and / or making the specified target to be observed closer to the imaging center of the observation area, and specifying that the importance of the target to be observed is greater than a preset value.

[0118] According to the implementation of this application, dividing the target area into multiple observation quadrants based on the geographical distribution of all observation areas includes: calculating the geographical distribution center of all observation areas as the center point of the target area; and dividing the target area into multiple observation quadrants based on the center point of the target area.

[0119] According to the implementation of this application, the overall satellite observation sequence is generated based on the importance of the observation quadrant in which each observation area is located, including: generating a first-level observation sequence between observation quadrants based on the sum of the importance of all observation areas within each observation quadrant; generating a second-level observation sequence for each observation quadrant based on the importance of each observation area within the observation quadrant; and forming an overall observation sequence based on the first-level observation sequence and the second-level observation sequence.

[0120] According to the implementation of this application, the device further includes: an adjustment module, used to arrange multiple observations in the second-level observation sequence for observation areas with importance higher than a preset threshold when generating the second-level observation sequence; and to interleave and sort the observation areas that need to be observed multiple times with other observation areas when forming the overall observation sequence.

[0121] According to the implementation of this application, the preset importance is calculated based on at least one of the fixed attributes, dynamic attributes, and observation attributes of the target to be observed; the fixed attributes include at least one of target type and strategic value; the dynamic attributes include at least one of the target's motion state and activity pattern; and the observation attributes include at least one of the observation urgency and the number of historical observations.

[0122] According to embodiments of this application, any multiple modules among the acquisition module 310, task generation module 320, partitioning module 330, and sequence generation module 340 can be merged into one module, or any one of these modules can be split into multiple modules. Alternatively, at least some of the functions of one or more of these modules can be combined with at least some of the functions of other modules and implemented in one module. According to embodiments of this application, at least one of the acquisition module 310, task generation module 320, partitioning module 330, and sequence generation module 340 can be at least partially implemented as hardware circuitry, such as a field-programmable gate array (FPGA), a programmable logic array (PLA), a system-on-a-chip, a system-on-a-substrate, a system-on-package, an application-specific integrated circuit (ASIC), or implemented in hardware or firmware by any other reasonable means of integrating or packaging the circuitry, or implemented in software, hardware, or firmware, or in any suitable combination of any of these three implementation methods. Alternatively, at least one of the acquisition module 310, task generation module 320, partitioning module 330, and sequence generation module 340 may be implemented at least partially as a computer program module, which can perform corresponding functions when the computer program module is run.

[0123] Figure 5 A block diagram schematically illustrates an electronic device suitable for implementing a geostationary orbit satellite observation method according to an embodiment of this application.

[0124] like Figure 5 As shown, an electronic device according to an embodiment of this application 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 this application.

[0125] RAM 403 stores various programs and data required for the operation of the electronic device. 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 this application 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 this application by executing programs stored in one or more memories.

[0126] According to embodiments of this application, the electronic device may further include an input / output (I / O) interface 405, which is also connected to a bus 404. The electronic device may also include one or more of the following components connected to the input / output (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 409 including a network interface card such as a LAN card, modem, etc. The communication section 409 performs communication processing via a network such as the Internet. A drive 410 is also connected to the input / output (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.

[0127] This application also provides a computer-readable storage medium, which may be included in the device / apparatus / system described in the above embodiments; or it may exist independently and not 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 this application.

[0128] According to embodiments of this application, the computer-readable storage medium can be a non-volatile computer-readable storage medium, such as including but not limited to: portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof. In this application, the computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. For example, according to embodiments of this application, the computer-readable storage medium may include ROM 402 and / or RAM 403 and / or one or more memories other than ROM 402 and RAM 403 described above.

[0129] Embodiments of this application also include a computer program product comprising a computer program containing program code for performing the methods shown in the flowchart. When the computer program product is run on a computer system, the program code enables the computer system to implement the geostationary orbit satellite observation method provided in the embodiments of this application.

[0130] When the computer program is executed by the processor 401, it performs the functions defined in the system / apparatus of this application embodiment. According to the embodiments of this application, the systems, apparatuses, modules, units, etc., described above can be implemented by computer program modules.

[0131] In one embodiment, the computer program may rely on a tangible storage medium such as an optical storage device or a magnetic storage device. In another embodiment, the computer program may also be transmitted and distributed in the form of signals over a network medium, and downloaded and installed via communication section 409, and / or installed from removable medium 411. The program code contained in the computer program can be transmitted using any suitable network medium, including but not limited to: wireless, wired, etc., or any suitable combination thereof.

[0132] In such an embodiment, the computer program can be downloaded and installed from a network via communication section 409, and / or installed from removable medium 411. When the computer program is executed by processor 401, it performs the functions defined in the system of this application embodiment. According to embodiments of this application, the systems, devices, apparatuses, modules, units, etc., described above can be implemented by computer program modules.

[0133] According to embodiments of this application, program code for executing the computer programs provided in the embodiments of this application can be written in any combination of one or more programming languages. Specifically, these computational programs can be implemented using high-level procedural and / or object-oriented programming languages, and / or assembly / machine languages. Programming languages ​​include, but are not limited to, languages ​​such as Java, C++, Python, "C", or similar programming languages. The program code can be executed entirely on the user's computing device, partially on the user's device, partially on a remote computing device, or entirely on a remote computing device or server. In cases involving remote computing devices, the remote computing device can be connected to the user's computing device via any type of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computing device (e.g., via the Internet using an Internet service provider).

[0134] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram or flowchart, and combinations of blocks in a block diagram or flowchart, may be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0135] Those skilled in the art will understand that the features described in the various embodiments of this application can be combined and / or combined in various ways, even if such combinations or combinations are not explicitly described in this application. In particular, the features described in the various embodiments of this application can be combined and / or combined in various ways without departing from the spirit and teachings of this application. All such combinations and / or combinations fall within the scope of this application.

Claims

1. A method for observing geostationary orbit satellites, characterized in that, The method includes: Obtain the geographical location and preset importance of each target within the target area; Based on the geographical location and preset importance of each target to be observed, multiple observation areas that can be covered by a single satellite are generated; Based on the geographical distribution of all the observation areas, the target area is divided into multiple observation quadrants; Based on the importance of the observation quadrant in which each observation region is located, an overall observation sequence for the satellite is generated.

2. The method as described in claim 1, characterized in that, The process involves generating multiple observation areas that can be covered by a single satellite observation based on the geographical location and preset importance of each target to be observed, including: Using the target to be observed with an importance greater than a preset value as the base point, an initial observation area covering multiple targets to be observed is generated based on the single imaging swath width of the satellite. For each initial observation area, the coordinates of the center point of the initial observation area are adjusted according to the importance of all targets to be observed within the coverage area of ​​the initial observation area, thereby generating multiple observation areas that can be covered by a single satellite.

3. The method as described in claim 1, characterized in that, The step of adjusting the center point coordinates of the initial observation area based on the importance of all targets to be observed within the coverage area of ​​the initial observation area to generate multiple observation areas that can be covered by a single satellite includes: With the goal of maximizing the overall importance of the initial observation area and / or bringing the designated target to be observed closer to the imaging center of the observation area, the coordinates of the center point of the initial observation area are adjusted, and the importance of the designated target to be observed is greater than a preset value.

4. The method as described in claim 1, characterized in that, The division of the target area into multiple observation quadrants based on the geographical distribution of all the observed areas includes: Calculate the geographic distribution center of all observed areas as the center point of the target area; Using the center point of the target area as a reference, the target area is divided into multiple observation quadrants.

5. The method as described in claim 1, characterized in that, The generation of the overall satellite observation sequence based on the importance of each observation region in its observation quadrant includes: Based on the sum of the importance of all observation areas within each observation quadrant, a first-level observation sequence is generated between each observation quadrant. For each observation quadrant, a second-level observation sequence for the observation regions within the observation quadrant is generated based on the importance of each observation region within the observation quadrant. The overall observation sequence is formed based on the first-level observation sequence and the second-level observation sequence.

6. The method as described in claim 5, characterized in that, The method includes: When generating the second-level observation sequence, for observation areas with importance higher than a preset threshold, multiple observations are arranged in the second-level observation sequence; When forming the overall observation sequence, the observation areas that need to be observed multiple times are interspersed and arranged with other observation areas.

7. The method as described in claim 1, characterized in that, The preset importance is calculated based on at least one of the fixed attributes, dynamic attributes, and observation attributes of the target to be observed; The fixed attributes include at least one of target type and strategic value; The dynamic attributes include at least one of the target's motion state and activity patterns; The observation attributes include at least one of the observation urgency and the number of historical observations.

8. A geostationary orbit satellite observation device, characterized in that, The device includes: The acquisition module is used to acquire the geographical location and preset importance of each target to be observed within the target area; The task generation module is used to generate multiple observation areas that can be covered by a single satellite based on the geographical location and preset importance of each of the targets to be observed. The partitioning module is used to divide the target area into multiple observation quadrants based on the geographical distribution of all the observation areas; The sequence generation module is used to generate the overall observation sequence of the satellite based on the importance of the observation quadrant in which each observation area is located.

9. An electronic device, comprising: One or more processors; A memory for storing one or more computer programs, characterized in that the one or more processors execute the one or more computer programs to implement the steps of the method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program or instructions stored thereon, characterized in that, When the computer program or instructions are executed by a processor, they implement the steps of the method according to any one of claims 1 to 7.

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