A remote sensing area acquisition method, system and device for dynamic division and iteration

Abstract

The present invention provides a remote sensing area acquisition method, system and device for dynamic division and iteration, which mainly obtains the remaining observation area by comparing and calculating the remote sensing demand area with the scene data provided by the satellite; then dynamically divides and plans the shooting plan; dynamically adjusts the shooting plan according to the satellite shooting quality; monitors the satellite data processing system, and dynamically iterates the new scene data, thereby efficiently completing the remote sensing area acquisition task and solving the current time-consuming and labor-intensive problem of manually tracking and recording satellite shooting.

Description

Technical Field

[0001] The present invention relates to the field of satellite remote sensing technology, and in particular to a remote sensing area acquisition method, system and device for dynamic division and iteration. Background Art

[0002] At present, for ground observation targets covering a vast geographical area, census satellites need to use multiple satellites, multiple pass-bys, and multiple observations to complete the observation mission. Such remote sensing targets that cannot be covered by a single pass of a remote sensing satellite are defined as satellite remote sensing regional targets.

[0003] To achieve this goal, satellite managers need to track and record the location of each shooting, then query the corresponding shooting data based on the shooting location, and finally determine whether re-shooting is needed based on the quality of the shooting data. This process requires a lot of time and human resources.

[0004] As the number of satellite observations increases, it becomes more difficult to determine the next shooting location. This is because the gaps left by regional observations will gradually increase, and the loopholes will also increase accordingly. The satellite's collection efficiency of these gaps and loopholes will continue to decrease. For this reason, one shooting opportunity will be used to fill the loopholes, taking up precious satellite shooting opportunities.

[0005] The data acquired by the satellite will be divided according to processing units during the data processing process. Each processing unit is called scene data, which is stored by the relevant system and provides query services. This provides a basis for further data processing and improving satellite shooting efficiency. Summary of the invention

[0006] The object of the present invention is to provide a remote sensing area acquisition method with dynamic division and iteration to solve at least one of the above-mentioned technical problems existing in the prior art.

[0007] In order to solve the above technical problems, the present invention provides a remote sensing area acquisition method of dynamic division iteration, comprising the following steps:

[0008] Step 1, obtaining scene data: collecting scene data of satellites within the observation area, finding the union, and obtaining the scene data union;

[0009] Step 2, calculate the remaining observation area: use the remote sensing demand area to find the intersection of the scene data union obtained in step 1, and then use the remote sensing demand area to find the difference of this intersection to obtain the remaining observation area;

[0010] Step 3, dynamic division: dynamically divide the remaining observation area obtained in step 2 to obtain a reasonable coverage area for satellite photography;

[0011] Step 4: Plan and shoot: Plan the reasonable coverage area obtained in step 3, arrange satellites to shoot, and obtain new scene data;

[0012] Step 5, dynamic iteration: re-import the new scene data obtained in step 4 into step 1 until the new scene data completely covers the remaining observation area.

[0013] Furthermore, the query parameter P is determined by observing the position information and the data qualification parameter information, and then the scene data is determined.

[0014] The observation location information is represented by a set of closed-loop longitude and latitude points.

[0015] Furthermore, the longitude and latitude points of the closed loop can be expressed as follows:

[0016] P 区域 ={(lon1,lat1),(lon2,lat2),...,(lon m ,lat m ),(lon1,lat1)};

[0017] Furthermore, the data qualification parameter information mainly includes one or any combination of shooting time, resource information, load information, cloud cover information, etc.

[0018] Furthermore, in the data qualification parameter information, the shooting time is defined as P t ={t s ,t e}, t s is the start time, t e is the end time;

[0019] Indicates that scene data captured during this period is available.

[0020] Furthermore, resource information is defined as:

[0021] P s ={s1,s2,s3,...,s n}, S is the satellite;

[0022] P s Represents a collection of satellites.

[0023] Further, the load information is defined as:

[0024] P sensor ={q1,q2,q3,...,q n};

[0025] Where q = (sensor, resolution, spectrum, electro, ...), sensor is the load code, expressed as a string; resolution is the minimum resolution, expressed as a number; spectrum is the spectral range; electro is the electromagnetic range; cloud cover information is defined as P cloud .

[0026] Further, the query parameters are defined as:

[0027] P={P 区域 ,P t ,P s ,P sensor ,P cloud ,P ？};

[0028] Among them, P ？ It means that it can continue to expand as needed.

[0029] The query result scene data set obtained by the query parameters is defined as:

[0030] J={j1,j2,j3,...,j n};

[0031] The elements of j mainly include number, serial number, satellite, payload, angle, time, cloud cover, spectrum, electromagnetic, position, etc. The specific element content can be reasonably adjusted based on the observation data requirements.

[0032] Furthermore, a computer algorithm is used to calculate the remaining area:

[0033] First, the polygon intersection algorithm is used to calculate the photographed part;

[0034] Then, the remaining area is calculated using a polygon subtraction algorithm.

[0035] In this way, satellite observations are only arranged for the parts without qualified data, thereby reducing the duplication rate and saving satellite resources.

[0036] Furthermore, in actual satellite photography, it is not possible to complete all photography opportunities due to resource capacity limitations. In the planning cycle, the photography opportunities in the remaining areas are dynamically adjusted, so the planning cycle must be determined first.

[0037] Flexible and dynamic adjustment of shooting plans based on the planning cycle to save shooting opportunities.

[0038] Preferably, the planning period is defined as 0:00 to 24:00 of the next day of the current day.

[0039] This is in line with the satellite operation cycle and makes reasonable arrangements and planning.

[0040] Further, an initial shooting plan is set according to the satellite resource capabilities with shooting opportunities;

[0041] In this way, all satellite resources can be integrated to improve shooting efficiency.

[0042] Furthermore, the initial shooting plan is issued for planning, the planning status of the shooting tasks is monitored, and the shooting plan is adjusted in time according to the results until there are no shooting opportunities in the current planning cycle.

[0043] In this way, the shooting plan can be adjusted and optimized at any time.

[0044] Furthermore, the planning and shooting adopts the "allocation-planning" two-layer model to carry out multi-satellite and multi-task planning.

[0045] Furthermore, an exchange link is established with the satellite data processing system, and a generation message is issued when it generates new scene data.

[0046] Furthermore, by monitoring the new scene data generation message, the collection of the new scene data is started.

[0047] Preferably, the new scene data is received through a message queue and a data protocol.

[0048] In this way, after obtaining the new scene data, iterate into step 1, operate step by step, recalculate the remaining observation area, and continue to cycle until the task is completed.

[0049] In addition, the present invention also provides a remote sensing area acquisition system with dynamic division and iteration, which mainly includes a data receiving module, a data processing module, a data monitoring module, and a data generating module:

[0050] The data receiving module is used to process the satellite's scene data, and to combine the obtained scene data and transmit them to the data processing module;

[0051] The data processing module is used to dynamically divide the satellite shooting area and plan the shooting task. First, the remaining area is calculated by using an algorithm, and the initial shooting plan within the planning period is set. Then the shooting task is transmitted to the data monitoring module, and the shooting plan is adjusted in time according to the feedback of the data monitoring module. Finally, the satellite shooting results are transmitted to the data generation module;

[0052] The data monitoring module is used to establish an exchange link with an external satellite processing system, transmit a shooting task, receive a new scene data generation message, and instruct the data receiving module to receive the new scene data;

[0053] The data generation module is used to output satellite photography results.

[0054] On the other hand, the present invention also provides a remote sensing area acquisition device with dynamic division and iteration, the device mainly includes a processor, a memory and a bus, the memory stores instructions that can be read by the processor; the processor is used to call the instructions in the memory to execute the remote sensing area acquisition method with dynamic division and iteration; the bus connects the functional components of the computer to transmit information.

[0055] By adopting the above technical solution, the present invention has the following beneficial effects:

[0056] The present invention provides a remote sensing area acquisition method, system and device with dynamic division and dynamic iteration, which automatically obtains satellite scene data, dynamically divides and calculates the difference between remote sensing area targets and satellite scene data, dynamically plans satellite shooting, and then dynamically iterates new scene data until the acquisition task is completed, thereby reducing satellite resource occupation, reducing the difficulty of satellite shooting planning, and solving the problem that satellite shooting of remote sensing area targets is time-consuming and labor-intensive. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0058] Figure 1 A flow chart of a dynamic partitioning and iterative collection method provided by an embodiment of the present invention;

[0059] Figure 2 A visualization process diagram provided by an embodiment of the present invention;

[0060] Figure 3 A diagram of a dynamic adjustment process provided by an embodiment of the present invention;

[0061] Figure 4 A diagram of a remote sensing area acquisition system with dynamic division and iteration provided in an embodiment of the present invention.

[0062] Reference numerals:

[0063] 1- Pre-planning plan; 2- Post-planning plan. DETAILED DESCRIPTION

[0064] The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0065] In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicating the orientation or positional relationship, are based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first", "second", and "third" are used for descriptive purposes only, and cannot be understood as indicating or implying relative importance.

[0066] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0067] The present invention is further explained below in conjunction with specific implementation modes.

[0068] like Figure 1-3 As shown, this embodiment provides a remote sensing area acquisition method of dynamic division iteration, including the following steps:

[0069] Step 1: Obtain scene data: Collect scene data of all satellites that meet the requirements within the current area, and calculate the union of these scene data.

[0070] The query parameter P is determined by observing the location information and the data qualification parameter information, and then the scene data is determined.

[0071] The observation location information is represented by a set of closed-loop longitude and latitude points:

[0072] P 区域 ={(lon1,lat1),(lon2,lat2),...,(lon m ,lat m ),(lon1,lat1)};

[0073] Among them, the data qualification parameter information mainly includes shooting time, resource information, load information, and cloud cover information:

[0074] The shooting time is defined as P t ={t s ,t e}, t sis the start time, t e is the end time, indicating that the scene data captured during this period is available;

[0075] Resource information is defined as: s ={s1,s2,s3,...,s n}, S is the satellite, P s represents a collection of satellites;

[0076] The load information is defined as: P sensor ={q1,q2,q3,...,q n};

[0077] Where q = (sensor, resolution, spectrum, electro, ...), sensor is the load code, expressed as a string; resolution is the minimum resolution, expressed as a number; spectrum is the spectral range, expressed as a string in the form of "min~max"; electro is the electromagnetic range, expressed as a string in the form of "min~max", see the table below for details:

[0078] Cloud cover information is defined as P cloud , expressed by numerical values.

[0079] Therefore, the query parameters are defined as:

[0080] P={P 区域 ,P t ,P s ,P sensor ,P cloud}.

[0081] The query result scene data set obtained by the query parameters is defined as:

[0082] J={j1,j2,j3,...,j n};

[0083] The elements of j mainly include number, serial number, satellite, payload, angle, time, cloud cover, spectrum, electromagnetic, and position.

[0084] Step 2, calculate the remaining observation area: use the remote sensing demand area to find the intersection of the scene data union obtained in step 1, and then use the remote sensing demand area to find the difference of this intersection to obtain the remaining observation area of ​​the remote sensing area.

[0085] In a preferred embodiment, the remaining area can be calculated in the following manner:

[0086] First, the polygon intersection algorithm is used to calculate the captured part of the information QJ , J is obtained by intersecting the scene data set of the remote sensing demand area;

[0087] Then, the remaining area Q is calculated using the polygon subtraction algorithm:

[0088] Q=Q 原始 -Q J ;

[0089] Q 原始 The original area representing the remote sensing demand area;

[0090] In this way, satellite observations are only arranged for the parts without qualified data, thereby reducing the duplication rate and saving satellite resources.

[0091] The polygon intersection and difference calculation method may use, for example, the polygon solution method proposed in the present invention, or other methods in the prior art, or may use, for example, intersection and difference tools in tools such as GeoTools. The present invention is limited only to the ability to solve the intersection and difference of regions, and is not limited to specific implementation algorithms or tools.

[0092] Step 3: Dynamic division: Dynamically divide the remaining observation area obtained in step 2 to obtain a reasonable coverage area for arranging the satellite shooting part.

[0093] First determine the remaining area such as Figure 3 In the pre-planning plan 1, a1, a2, and a3 are shooting opportunities that can be completed within the current planning cycle. After the corresponding satellite mission planning, a1 can complete the shooting, but a2 fails to plan. Then, according to the planning results of a1 and a2, when arranging a3, we correct the shooting position and adjust it to a2`, such as Figure 3 After planning, plan 2 in the next step continues to complete the planning of this cycle, thereby optimizing the shooting arrangements for the remaining observation areas in this planning cycle.

[0094] Step 4: Plan and shoot: Coordinate the reasonable coverage area obtained in step 3 and other observation tasks of related satellites, arrange satellites to shoot, and obtain new scene data.

[0095] First, define the planning period, which can be set, for example, from 0:00 to 24:00 the next day of the current day;

[0096] Then, the initial shooting plan within the planning period is set according to the satellite resource capabilities with shooting opportunities;

[0097] The initial shooting plan is issued and planned, and the planning status of the shooting tasks is monitored. According to the results, the shooting plan is adjusted in time until there are no shooting opportunities in the current planning cycle.

[0098] The planning and shooting adopts the "allocation-planning" two-layer model for multi-satellite multi-task planning, which is divided into two layers: single-satellite task allocation and single-satellite task planning. The allocation layer is to allocate tasks to single satellites, and the planning layer is to plan the tasks allocated to satellites according to the satellite's capability constraints, determine the feasibility, and feed back the results to the allocation layer.

[0099] In addition to the above-mentioned planning shooting method, other well-known model algorithms in the art may also be used to achieve the same planning effect.

[0100] At the same time, an exchange link is established with the external satellite data processing system, and a generation message is issued when it generates new scene data.

[0101] Generate messages by listening to new scene data as a prerequisite for starting to collect new scene data.

[0102] Step 5, dynamic iteration: re-import the new scene data obtained in step 4 into step 1, operate step by step, and continuously cycle until the new scene data completely covers the remaining observation area, thereby completing the observation task of the observation area.

[0103] In addition, this embodiment also provides a remote sensing area acquisition system with dynamic division and iteration, which mainly includes a data receiving module, a data processing module, a data monitoring module, and a data generating module. Figure 4 As shown;

[0104] The data receiving module is used to process the view data of the satellite, obtain the view data union of all relevant satellites, and transmit it to the data processing module;

[0105] The data processing module is used to dynamically divide the satellite shooting area, combine the remote sensing demand area with the satellite scene data and calculate the difference, obtain the remaining shooting area and dynamically divide it, dynamically plan the shooting tasks, and transmit the shooting tasks to the data monitoring module, then dynamically adjust the shooting plan according to the feedback, and finally transmit the satellite shooting results to the data generation module;

[0106] The data monitoring module is used to establish an exchange link with an external satellite processing system, transmit a shooting task to a satellite, and receive a new scene data generation message from the external satellite processing system, and instruct the data receiving module to receive the new scene data;

[0107] The data generation module is used to output satellite photography results.

[0108] In the data receiving module, the scene data can be obtained by determining the query parameter P through the observation position information and the data qualified parameter information, and then determining the scene data.

[0109] The observation location information is represented by a set of closed-loop longitude and latitude points.

[0110] Furthermore, the longitude and latitude points of the closed loop can be expressed as follows:

[0111] P 区域 ={(lon1,lat1),(lon2,lat2),...,(lon m ,lat m ),(lon1,lat1)};

[0112] Furthermore, the data qualification parameter information mainly includes one or any combination of shooting time, resource information, load information, cloud cover information, etc.

[0113] Furthermore, in the data qualification parameter information, the shooting time is defined as P t ={t s ,t e}, t s is the start time, t e is the end time;

[0114] P t Indicates that scene data captured during this period is available.

[0115] Furthermore, resource information is defined as:

[0116] P s ={s1,s2,s3,...,s n}, S is the satellite;

[0117] P s Represents a collection of satellites.

[0118] Further, the load information is defined as:

[0119] P sensor ={q1,q2,q3,...,q n};

[0120] Where q = (sensor, resolution, spectrum, electro, ...), sensor is the load code, expressed as a string; resolution is the minimum resolution, expressed as a number; spectrum is the spectral range; electro is the electromagnetic range; cloud cover information is defined as P cloud .

[0121] Further, the query parameters are defined as:

[0122] P={P 区域 ,P t ,P s ,P sensor ,P cloud ,P ？};

[0123] Among them, P ？ It means that it can continue to expand as needed.

[0124] The query result scene data set obtained by the query parameters is defined as:

[0125] J={j1,j2,j3,...,j n};

[0126] The elements of j mainly include number, sequence number, satellite, payload, angle, time, cloud cover, spectrum, electromagnetic, position, etc. The selection of specific elements can be reasonably adjusted based on the requirements of observation data.

[0127] In another aspect, the present embodiment further provides a remote sensing area acquisition device with dynamic division and iteration, the device mainly comprising a processor, a memory and a bus;

[0128] The memory stores instructions that can be read by the processor, and the size is flexibly configured according to storage needs;

[0129] The processor is used to call the instructions in the memory to execute the remote sensing area acquisition method of dynamic division and iteration;

[0130] The bus connects the various functional components of the computer to transmit information.

[0131] In another embodiment, the present solution can be implemented by means of a device, which may include a corresponding module for performing each or several steps in the above-mentioned embodiments. Therefore, each step or several steps of the above-mentioned embodiments can be performed by a corresponding module, and the electronic device may include one or more of these modules. The module may be one or more hardware modules specially configured to perform the corresponding steps, or implemented by a processor configured to perform the corresponding steps, or stored in a computer-readable medium for implementation by a processor, or implemented by some combination.

[0132] The device can be implemented using a bus architecture. The bus architecture can include any number of interconnecting buses and bridges, depending on the specific application and overall design constraints of the hardware. The bus connects various circuits including one or more processors, memories, and / or hardware modules together. The bus can also connect various other circuits such as peripherals, voltage regulators, power management circuits, external antennas, etc.

[0133] The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Component (EISA) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, only one connecting line is used in this figure, but it does not mean that there is only one bus or one type of bus.

[0134] Any process or method description in the flowchart or otherwise described herein can be understood as a module, fragment or portion of a code representing one or more executable instructions for implementing the steps of a specific logical function or process, and the scope of the preferred embodiment of the present solution includes other implementations, in which the functions may not be performed in the order shown or discussed, including performing the functions in a substantially simultaneous manner or in a reverse order according to the functions involved, which should be understood by a person skilled in the art of the present solution. The processor performs the various methods and processes described above. For example, the method implementation in the present solution can be implemented as a software program, which is tangibly contained in a machine-readable medium, such as a memory. In some embodiments, part or all of the software program can be loaded and / or installed via a memory and / or a communication interface. When the software program is loaded into the memory and executed by the processor, one or more steps in the method described above can be performed. Alternatively, in other embodiments, the processor can be configured to perform one of the above methods in any other appropriate manner (e.g., by means of firmware).

[0135] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A remote sensing area acquisition method with dynamic division and iteration, characterized in that: The steps include: Step 1, obtaining scene data: collecting scene data of satellites within the observation area, finding the union, and obtaining the scene data union; specifically determining the query parameters through the observation location information and the data qualified parameter information, and then determining the scene data; The observation location information is represented by a set of closed-loop longitude and latitude points; The data qualified parameter information includes one of shooting time, resource information, load information, and cloud cover information, or any combination thereof; Step 2, calculate the remaining observation area: use the remote sensing demand area to find the intersection of the scene data union obtained in step 1, and then use the remote sensing demand area to find the difference of this intersection to obtain the remaining observation area; Step 3, dynamic division: dynamically divide the remaining observation area obtained in step 2 to obtain a reasonable coverage area for satellite photography; The dynamic division specifically includes: firstly determining the pre-planning plan for the remaining area, including the shooting opportunities a1, a2 and a3 that need to be completed sequentially from one end of the remaining area within the current planning cycle, and the shooting ranges of the three are all rectangular strips parallel to each other; after the corresponding satellite mission planning, if a1 can complete the shooting but the planning of a2 fails, then when arranging a3, the shooting position is corrected by translation in the direction of a2 until the shooting range of a3 covers a2, which is used as the new shooting opportunity a2`; and then continue to complete the planning of this cycle in this way; Step 4: Plan and shoot: Plan the reasonable coverage area obtained in step 3, arrange satellites to shoot, and obtain new scene data; Step 5, dynamic iteration: re-import the new scene data obtained in step 4 into step 1 until the new scene data completely covers the remaining observation area.

2. A remote sensing area acquisition method of dynamic division iteration according to claim 1, characterized in that: In step 2, the difference is calculated by polygonal difference method, and the intersection is calculated by polygonal intersection method.

3. The remote sensing area acquisition method of dynamic division iteration according to claim 1, characterized in that: Step 4 also includes determining a planning period, where the planning period is a preset time period after the day on which the data has been acquired.

4. A remote sensing area acquisition method of dynamic division iteration according to claim 3, characterized in that: The preset time period is from 0:00 to 24:00 of the next day of the current day.

5. The remote sensing area acquisition method of dynamic division iteration according to claim 1, characterized in that: Step 4 also includes shooting plan adjustment strategy: A) Initial shooting plan is determined; B) Planning for the issuance of the initial shooting plan; C) Monitor the planning status of the shooting task; D) Adjust the shooting plan until there are no shooting opportunities within the current planning period.

6. The remote sensing area acquisition method of dynamic division iteration according to claim 1, characterized in that: The step 4 also includes establishing an exchange link with the satellite data processing system and issuing a generation message when it generates new scene data.

7. The remote sensing area acquisition method of dynamic division and iteration according to claim 1, characterized in that: The step 4 also includes monitoring a new scene data generation message, and starting to collect the new scene data accordingly.

8. A remote sensing area acquisition system using dynamic division iteration according to any one of the methods of claims 1 to 7, characterized in that: It includes a data receiving module, a data processing module, a data monitoring module and a data generating module; The data receiving module is used to process the satellite's scene data, obtain a scene data set, and transmit it to the data processing module; The data processing module is used to dynamically divide the satellite shooting area, transmit the shooting task to the data monitoring module, dynamically adjust the shooting plan according to the feedback, and transmit the satellite shooting results to the data generation module; The data monitoring module is used to establish an exchange link with an external satellite processing system, transmit a shooting task, receive a new scene data generation message, and instruct the data receiving module to receive the new scene data; The data generation module is used to output satellite photography results.

9. A remote sensing area acquisition device with dynamic division and iteration, characterized in that: The device includes a processor, a memory and a bus, wherein the memory stores instructions that can be read by the processor; the processor is used to call the instructions in the memory to execute a dynamic division and iterative remote sensing area acquisition method as described in any one of claims 1-7; and the bus connects the functional components of the computer to transmit information.

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