Linear array and area array system optical imaging load collaborative application method and system

Abstract

The invention provides a linear array and area array system optical imaging load collaborative application method and system. The method comprises the following steps: 1, receiving and analyzing a satellite task; 2, push-broom imaging of the linear array system camera; 3, target detection and processing; 4, autonomous guidance task planning; and 5, staring imaging of the area array system camera. The problem that a traditional single-system satellite cannot give consideration to ultra-large-width imaging and high-resolution imaging can be solved, the characteristics that a linear array system camera is large in imaging visual range and an area array system camera is high in imaging resolution and rich in imaging details can be brought into full play, the actual application scene of an optical remote sensing satellite is greatly widened, and the application prospect is wide. And the maximum observation benefit is obtained.

Description

Technical Field

[0001] The present invention relates to the field of aerospace technology, and specifically, to a collaborative application method and system for linear array and planar array optical imaging payloads. Background Art

[0002] In recent years, satellite earth observation data has played an important role in various fields such as regional monitoring, global mapping, disaster prevention and mitigation. For optical imaging satellites, imaging payloads generally can be divided into two systems: linear array and planar array. The linear array system camera performs push-broom imaging in the satellite flight direction. By using multiple cameras splicing and its unique time delay integration technology, a large swath width and high signal-to-noise ratio optical remote sensing image can be obtained. The planar array system camera performs staring imaging in the satellite flight direction, can obtain high-resolution optical remote sensing images, and has the ability to image and track dynamic targets. For the collaborative application tasks of single satellite with multiple payloads, in order to give full play to the respective advantages of the linear array and planar array cameras and obtain the maximum observation benefit, it is necessary to carry out mission planning for the collaborative observation of the two systems of optical imaging payloads, and while completing the large-scale area scanning, obtain high-resolution optical remote sensing images of dynamic targets.

[0003] Patent document CN108151711A (application number: 201710118991.7) discloses an optical satellite ring-scanning ultra-wide swath imaging method. This method uses the whole satellite to rotate around the earth-pointing axis, and by controlling the satellite rotation speed, makes the areas between adjacent two ring-scanning imagings of the planar array system camera seamless, so as to achieve high-resolution ultra-wide swath imaging. However, this method mainly conducts application research on the planar array system camera and does not involve the collaborative application of the linear array and planar array cameras.

[0004] Patent document CN103076005A (application number: 201210590539.8) discloses an optical imaging method for integrated stereoscopic mapping and wide swath imaging. This method uses two or three linear array system cameras to image adjacent parts of the target successively, and splices the adjacent part images to achieve high-resolution ultra-wide swath imaging. However, this method mainly conducts application research on multiple linear array system cameras and does not involve the collaborative application of the linear array and planar array cameras.

[0005] Patent document CN113722897A (application number: 202110948407.7) discloses a collaborative observation method based on high-resolution series satellites. This method unifies scheduling and information release through orbit prediction, and uses multiple high-resolution series satellites for collaborative observation to obtain stable and continuous observation data. However, this method mainly conducts application research on the collaborative observation of multiple satellites, and does not involve a single satellite using the linear array system camera to guide the planar array system camera through an autonomous guidance mission planning method to obtain high-resolution and ultra-large swath image data.

[0006] Patent document CN105043353A (application number: 201510466057.5) discloses a swing mirror wide - amplitude imaging system and an imaging method. In this method, a swing mirror is arranged at the front end of a camera with a planar array structure. By rotating the swing mirror, the imaging field of view of the camera with a planar array structure is expanded, thus achieving high - resolution and ultra - wide - amplitude imaging. However, this method mainly conducts application research on cameras with a planar array structure and does not involve the collaborative application of linear array and planar array cameras.

[0007] Patent document CN110751353A (application number: 201810819369.3) discloses a multi - satellite collaborative observation method and device for flood emergency. This method disassembles the observation task requirements and assigns them to each satellite. Each satellite collects data according to its assigned observation task. However, this method mainly conducts application research on the collaborative observation of multiple satellites, and the system is too complex. It does not involve obtaining high - resolution and ultra - wide - amplitude image data through the reuse of a single satellite.

[0008] The above - mentioned existing patents mainly conduct application research on single - structure optical imaging payloads or on multi - satellite and multi - payload collaborative application tasks. Currently, there is no method for the collaborative application of linear array and planar array optical imaging payloads. Compared with the existing technology, the present invention has significant differences and innovations in technical features. Summary of the Invention

[0009] Aiming at the defects in the existing technology, the purpose of the present invention is to provide a method and a system for the collaborative application of linear array and planar array optical imaging payloads.

[0010] According to a method for the collaborative application of linear array and planar array optical imaging payloads provided by the present invention, it includes:

[0011] Step S1: The satellite receives the imaging task job package uploaded from the ground, parses the received imaging task job package, and extracts information including imaging time and imaging location; the satellite attitude is changed from sun - pointing to earth - pointing, and the linear array camera and the planar array camera are powered on step by step according to the on - satellite program control process.

[0012] Step S2: When there is a visible window for the satellite in the task area, plan the satellite roll angle so that the linear array camera obtains the image information of the target by push - brooming row by row on the image plane perpendicular to the satellite flight direction, realizing large - range area scanning imaging, and at the same time outputting linear array image data.

[0013] Step S3: The satellite performs real - time on - satellite image processing. If there is a target in the image, extract the target slice information in the image, calculate the geographical longitude and latitude information of the target according to the target slice information, and trigger the execution of Step S4; if there is no target, repeatedly trigger the execution of Step S1 to Step S3.

[0014] Step S4: Plan the shooting task priority for the target according to the target's geographical longitude and latitude information, calculate the imaging time information required for the area array camera to shoot the target, generate the area array camera photographing delay command and the satellite attitude adjustment pointing delay command, and wait for high-resolution imaging of the target;

[0015] Step S5: Power on the area array camera according to the area array camera photographing delay command and the satellite attitude adjustment pointing delay command, and the satellite adjusts the satellite body attitude in real time to keep the payload optical axis always pointing to the target center for continuous staring imaging, and outputs image data at the same time; after the task ends, the satellite returns to the steady-state flight state and the attitude turns to sun-pointing.

[0016] Preferably, the line-by-line pushbroom in step S2 includes: the area array camera obtains only one row of images within the camera's field of view during a single exposure imaging. As the relative movement between the satellite and the ground occurs, the area array camera performs multiple exposures on the ground target by line-by-line pushbroom, and finally forms a two-dimensional image for output.

[0017] Preferably, step S2 includes:

[0018] Assume that the total imaging duration is T, the line frequency is H, and the number of rows of the output image is L, where:

[0019] L = T·H

[0020] In the along-track direction, the method of splicing multiple cameras is used to increase the swath width to obtain a global image in one pass; in an ideal case, according to the image resolution G, the total number of camera chips N, and the number of pixels of a single chip detection M, the swath width W is calculated:

[0021] W = G·N·M

[0022] According to the shortest distance d from the center point of the area to be scanned to the satellite sub-satellite point track and the satellite orbit altitude h, calculate the satellite roll angle θ during the scanning process:

[0023]

[0024] Preferably, step S3 includes: According to the row number, column number, corresponding imaging time of the target point on the strip image, GNSS position and velocity vector, and satellite attitude, perform coordinate transformation according to the satellite geometric imaging principle, form a beam equation where the satellite, the target point on the image, and the corresponding ground target point are collinear, and intersect with the Earth ellipsoid equation to obtain the ground coordinates of the target point.

[0025] Preferably, step S4 includes:

[0026] Merge the targets whose ground distances meet the preset requirements to obtain independent imaging regions. Take the target with the highest priority as the center of the region, and take the weighted sum of the priorities of all targets in the strip as the region weight. Then sort them according to the priority of the best imaging time of each region center.

[0027] According to the satellite orbit parameters, calculate the start and end of the mission interval to be planned, and the roll angle and pitch angle of the satellite at the target imaging time.

[0028] Output the imaging mission sequence parameters, including the start imaging time, end imaging time of each region, and the satellite roll angle.

[0029] Preferably, the staring imaging in step S5 includes: during the satellite's flight along the orbit, although the relative position relationship between the target area and the satellite is constantly changing, the satellite adjusts the attitude of the satellite body in real time so that the optical axis of the payload always points to the target center, thereby achieving multiple imaging of the same target area in a short time.

[0030] According to an optical imaging payload collaborative application system with linear array and area array systems provided by the present invention, it includes:

[0031] Module M1: The satellite receives the imaging mission job package uploaded from the ground, parses the received imaging mission job package, and extracts information including imaging time and imaging location; the satellite attitude is changed from sun-pointing to earth-pointing, and the linear array system camera and the area array system camera are powered on step by step according to the on-board program control process.

[0032] Module M2: When there is a visible window for the satellite in the mission area, plan the satellite roll angle so that the linear array system camera pushes and scans line by line on the image plane perpendicular to the satellite flight direction to obtain the image information of the target, realizing large-range area scanning imaging, and at the same time outputting the linear array image data.

[0033] Module M3: The satellite performs real-time on-board image processing. If there are targets in the image, extract the target slice information in the image, calculate the geographical longitude and latitude information of the target according to the target slice information, and trigger the execution of Module M4; if there are no targets, repeat triggering Module M1 to Module M3.

[0034] Module M4: Plan the shooting task priority of the target according to the geographical longitude and latitude information of the target, calculate the imaging time information required for the area array system camera to shoot the target, generate the area array system camera photographing delay command and the satellite attitude adjustment and pointing delay command, and wait for high-resolution imaging of the target.

[0035] Module M5: According to the photographing delay instruction of the area array camera system and the satellite attitude adjustment and pointing delay instruction, power on the area array camera system, and the satellite adjusts the attitude of the satellite body in real time, so that the payload optical axis always points to the target center for continuous staring imaging, and at the same time outputs image data; after the task is completed, the satellite returns to the steady-state flight state, and the attitude turns to the sun-pointing direction.

[0036] Preferably, the line-by-line pushbroom in the module M2 includes: the line array camera system obtains only one row of images within the camera's field of view through single exposure imaging. With the relative movement between the satellite and the ground, the line array camera system performs multiple exposures on the ground target by line-by-line pushbroom, and finally forms a two-dimensional image for output;

[0037] The module M2 includes:

[0038] Assume that the total imaging duration is T, the line frequency is H, and the number of rows of the output image is L, where:

[0039] L = T·H

[0040] In the along-track direction, the method of splicing multiple cameras is adopted to increase the swath width, so as to obtain a global image in one pass; in the ideal case, according to the image resolution G, the total number of camera chips N, and the number of pixels of a single chip detection M, the swath width W is calculated:

[0041] W = G·N·M

[0042] According to the closest distance d from the center point of the area to be scanned to the satellite's sub-satellite point track and the satellite orbit altitude h, the satellite roll angle θ during the scanning process is calculated:

[0043]

[0044] Preferably, the module M3 includes: based on the row number, column number, corresponding imaging time of the target point on the strip image, GNSS position and velocity vector, and satellite attitude, coordinate transformation is performed according to the satellite geometric imaging principle to form a beam equation in which the satellite, the target point on the image, and the corresponding ground target point are collinear, and the ground coordinates of the target point are obtained by intersecting with the earth ellipsoid equation.

[0045] Preferably, the module M4 includes:

[0046] Merge the targets whose ground distances meet the preset requirements to obtain independent imaging areas. The center of the area takes the target with the highest priority, the area weight takes the weighted sum of the priorities of all targets in the strip, and is sorted according to the priority of the best imaging time of each area center;

[0047] According to the satellite orbit parameters, calculate the beginning and end of the task interval to be planned, and the roll angle and pitch angle of the satellite at the target imaging time;

[0048] Output the imaging task sequence parameters, including the start imaging time, end imaging time of each area, and the satellite roll angle;

[0049] The staring imaging in module M5 includes: during the satellite's flight along the orbit, although the relative position relationship between the target area and the satellite is constantly changing, by adjusting the satellite's attitude in real time, the optical axis of the payload is always pointed at the target center, so as to achieve multiple imaging of the same target area in a short time.

[0050] Compared with the prior art, the present invention has the following beneficial effects:

[0051] 1. The present invention uses a line array system camera on the same platform to search for the imaging guide area and then uses a planar array system camera to perform high-resolution imaging on the target, which can solve the problem that traditional single-system satellites cannot balance ultra-wide swath imaging and high-resolution imaging, break the dilemma of "seeing only a part" or "seeing widely but not in detail", and can give full play to the characteristics of the line array system camera with a large imaging visual range, the planar array system camera with high detection imaging resolution and rich imaging details, greatly expanding the actual application scenarios of optical remote sensing satellites and obtaining the maximum observation benefits;

[0052] 2. Based on a method and system for collaborative application of line array and planar array optical imaging payloads provided by the present invention, through autonomous task collaborative design, the satellite can simultaneously achieve large-area search and high-resolution imaging and recognition of the target. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] By reading the following detailed description of the non-limiting embodiments with reference to the accompanying drawings, other features, objects, and advantages of the present invention will become more apparent:

[0054] Figure 1 It is a flowchart of a method for collaborative application of line array and planar array optical imaging payloads of the present invention.

[0055] Figure 2 It is a schematic diagram of push-broom imaging of a line array system camera of the present invention.

[0056] Figure 3 It is a flowchart of an autonomous mission planning algorithm of the present invention.

[0057] Figure 4 It is a schematic diagram of staring imaging of a planar array system camera of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0058] The present invention will be described in detail below with reference to specific embodiments. The following embodiments will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present invention, several changes and improvements can still be made. These all belong to the protection scope of the present invention.

[0059] Example 1

[0060] A method for collaborative application of a linear array and a planar array optical imaging payload provided by the present invention, as Figure 1 shown, includes:

[0061] Step 1: Satellite mission reception and parsing;

[0062] The ground uploads an imaging mission operation package to the satellite. After receiving the imaging mission operation package, the satellite extracts relevant information such as the imaging time and imaging location in the mission package. The satellite attitude is changed from sun-pointing to earth-pointing, and the linear array camera and the planar array camera are powered on step by step according to the on-board programmed process.

[0063] Step 2: Pushbroom imaging of the linear array camera;

[0064] When there is a visible window for the satellite in the mission area, the satellite roll angle is planned so that the linear array camera obtains the image information of the target by pushbroom scanning row by row on the image plane perpendicular to the satellite flight direction, realizing large-area scanning imaging, and at the same time outputting linear array image data.

[0065] The schematic diagram of the pushbroom scanning row by row is as Figure 2 shown. The linear array camera obtains only one row of images within the camera's field of view during a single exposure imaging. With the relative movement between the satellite and the ground, the linear array camera performs multiple exposures on the ground object target by pushbroom scanning row by row, and finally forms a two-dimensional image for output.

[0066] Assume that the total imaging duration is T, the line frequency is H, and the number of rows of the output image is L, where:

[0067] L = T·H

[0068] In the along-track direction, usually the method of splicing multiple cameras is adopted to increase the swath width to obtain a global image in one pass. In an ideal case, according to the image resolution G, the total number of camera chips N, and the number of pixels of a single chip detection M, the swath width W can be calculated:

[0069] W = G·N·M

[0070] According to the shortest distance d from the center point of the area to be scanned to the satellite sub-satellite point track and the satellite orbit altitude h, the satellite roll angle θ during the scanning process can be calculated:

[0071]

[0072] Step 3: Target detection and processing

[0073] The satellite performs real-time on-board image processing. If there is a target in the image, the satellite extracts the target slice information in the image, simultaneously starts the positioning algorithm, quickly calculates information such as the geographical longitude and latitude of the target based on the target slice information, and executes Step Four; if there is no target, it returns to Step One.

[0074] The positioning algorithm mentioned above means that from the row number, column number of the target point on the strip image, the corresponding imaging time, the GNSS position and velocity vector, and the satellite attitude, coordinate transformation can be performed according to the satellite geometric imaging principle, forming a light beam equation where the satellite, the target point on the image, and the corresponding ground target point are collinear. Intersecting with the Earth ellipsoid equation can obtain the ground coordinates of the target point. According to the collinear equation, a strict geometric model is constructed:

[0075]

[0076] Among them, (x - Δx, y - Δy, -f) are the coordinates of the image point in the payload coordinate system, (Δx, Δy) are the objective lens distortions, f is the payload principal distance, λ is the scaling ratio, (x GPS (t), y GPS (t), z GPS (t)) is the position of the satellite measured by GNSS at the imaging time of this image point, is the transformation matrix from the CGCS2000 coordinate system to the J2000 coordinate system, is the transformation matrix from the J2000 coordinate system to the satellite body coordinate system, is the transformation matrix from the satellite body coordinate system to the payload coordinate system, (D x , D y , D z ) body are the coordinates of the eccentric vector of the sensor projection center relative to the GNSS antenna phase center in the satellite body coordinate system, (x m , y m , z m ) are the coordinates of the object point corresponding to the image point in the CGCS2000 coordinate system, that is, the target positioning position to be solved.

[0077] Step Four: Autonomous guidance mission planning

[0078] The satellite starts the autonomous mission planning algorithm, conducts priority planning for the shooting mission of the target according to the detection result, calculates information such as the imaging time required for the area array camera to shoot the target, and thus autonomously generates the shooting delay command of the area array camera and the satellite attitude adjustment pointing delay command, waiting to perform high-resolution imaging on the target.

[0079] The flow chart of the autonomous mission planning algorithm is as Figure 3 shown, and mainly includes:

[0080] (1) Merge nearby targets

[0081] Considering the randomness of the targets, merge the targets with too close ground distances to obtain independent imaging regions. The center of the region takes the target with the highest priority, the region weight takes the weighted sum of the priorities of all targets in the strip, and they are sorted according to the priority of the best imaging time of each region center.

[0082] (2) Calculate the best imaging time of the area array camera

[0083] The best imaging time is defined as the moment when the satellite looks directly at the target. According to the satellite orbit parameters, calculate the beginning and end of the mission planning interval, and the roll angle and pitch angle of the satellite at the target imaging time. Through the Newton bisection method, iteratively find the best imaging time and the roll angle of the satellite at the imaging time (the pitch angle is approximately 0).

[0084] (3) Output the imaging sequence

[0085] Finally, output the imaging mission sequence parameters, including the start imaging time, end imaging time, satellite roll angle, etc. of each region.

[0086] Step 5: Staring imaging of the area array camera

[0087] According to the autonomous mission planning result, power on the area array camera, and the satellite adjusts the attitude of the satellite body in real time to make the optical axis of the payload always point to the target center for continuous staring imaging, and at the same time output image data. After the mission is completed, the satellite resumes the steady-state flight state, and the attitude turns to the sun orientation.

[0088] The schematic diagram of the staring imaging is as Figure 4 shown. During the satellite's flight along the orbit, although the relative position relationship between the target area and the satellite is constantly changing, by adjusting the attitude of the satellite body in real time, the optical axis of the payload always points to the target center, so as to achieve multiple imaging of the same target area in a short time. This method can obtain more dynamic information and has a high time resolution. Different from the line array camera, the field of view of the area array camera is relatively small, generally only a few kilometers, and the target area can be directly imaged simultaneously within the integration time, with high imaging efficiency.

[0089] In summary, a method for collaborative application of linear array and area array optical imaging payloads of the present invention can give full play to the respective advantages of linear array and area array cameras, and comprehensively improve the capabilities of wide-area information acquisition and rapid identification and confirmation of key targets.

[0090] The present invention further provides a cooperative application system for linear array and planar array optical imaging payloads. The cooperative application system for linear array and planar array optical imaging payloads can be implemented by executing the process steps of the cooperative application method for linear array and planar array optical imaging payloads. That is, those skilled in the art can understand the cooperative application method for linear array and planar array optical imaging payloads as the preferred implementation manner of the cooperative application system for linear array and planar array optical imaging payloads.

[0091] Those skilled in the art know that in addition to implementing the systems, devices and their respective modules provided by the present invention in the form of pure computer-readable program codes, the method steps can be logically programmed to enable the systems, devices and their respective modules provided by the present invention to be implemented in the form of logic gates, switches, application-specific integrated circuits, programmable logic controllers, embedded microcontrollers, etc. to achieve the same program. Therefore, the systems, devices and their respective modules provided by the present invention can be regarded as a kind of hardware components, and the modules included therein for implementing various programs can also be regarded as the structures within the hardware components; the modules for implementing various functions can also be regarded as either software programs for implementing the methods or the structures within the hardware components.

[0092] The specific embodiments of the present invention have been described above. It should be understood that the present invention is not limited to the above specific implementation manners, and those skilled in the art can make various changes or modifications within the scope of the claims, which does not affect the essence of the present invention. Without conflict, the embodiments of the present application and the features in the embodiments can be combined with each other arbitrarily.

Claims

1. A collaborative application method for linear array and planar array optical imaging payloads, characterized in that Including: Step S1: The satellite receives the imaging task operation package uplinked from the ground, parses the received imaging task operation package, and extracts information including imaging time and imaging location; the satellite attitude is switched from sun-pointing to earth-pointing, and the linear array camera and the area array camera are powered on step by step according to the on-board programmed process. Step S2: When there is a visible window for the satellite in the task area, plan the satellite roll angle so that the linear array camera obtains the image information of the target by line-by-line pushbroom on the image plane perpendicular to the satellite flight direction, realizing large-area scanning imaging, and at the same time outputting linear array image data. Step S3: The satellite performs real-time on-board image processing. If there is a target in the image, extract the target slice information in the image, calculate the geographical longitude and latitude information of the target according to the target slice information, and trigger the execution of Step S4. If there is no target, repeatedly trigger the execution of Step S1 to Step S3. Step S4: Plan the shooting task priority for the target according to the geographical longitude and latitude information of the target, calculate the imaging time information required for the area array camera to shoot the target, generate the area array camera photographing delay command and the satellite attitude adjustment pointing delay command, and wait for high-resolution imaging of the target. Step S5: Power on the area array camera according to the area array camera photographing delay command and the satellite attitude adjustment pointing delay command, and the satellite adjusts the satellite body attitude in real time so that the payload optical axis always points to the target center for continuous staring imaging, and at the same time outputs image data; after the task is completed, the satellite returns to the steady-state flight state, and the attitude is switched to sun-pointing.

2. The method for collaborative application of a linear array and a planar array optical imaging payload according to claim 1, characterized in that The line-by-line pushbroom in Step S2 includes: the linear array camera obtains only one row of images within the camera's field of view by single exposure imaging. As the relative movement between the satellite and the ground, the linear array camera performs multiple exposures on the ground object target by line-by-line pushbroom, and finally forms a two-dimensional image for output.

3. The collaborative application method of the linear array and planar array optical imaging payload according to claim 1, characterized in that, Step S2 includes: Assume that the total imaging duration is T, the line frequency is H, and the number of rows of the output image is L, where: L = T·H In the along-track direction, the method of splicing multiple cameras is adopted to increase the swath width to realize obtaining the global image in one pass; in the ideal case, according to the image resolution G, the total number of camera chips N, and the number of pixels of a single chip detection M, calculate the swath width W: W = G·N·M According to the shortest distance d from the center point of the area to be scanned to the satellite sub-satellite point track and the satellite orbit altitude h, calculate the satellite roll angle θ during the scanning process:

4. The collaborative application method of the linear array and planar array optical imaging payload according to claim 1, wherein Step S3 includes: From the row number, column number, corresponding imaging time, GNSS position and velocity vector, and satellite attitude of the target point on the strip image, perform coordinate transformation according to the satellite geometric imaging principle, form a beam equation where the satellite, the target point on the image, and the corresponding ground target point are collinear, and intersect with the earth ellipsoid equation to obtain the ground coordinates of the target point.

5. The collaborative application method of the linear array and planar array optical imaging payload according to claim 1, characterized in that Step S4 includes: Merge the targets whose ground distances meet the preset requirements to obtain independent imaging areas, take the target with the highest priority as the center of the area, take the weighted sum of the priorities of all targets in the strip as the area weight, and sort according to the priority of the best imaging time of each area center. According to the satellite orbit parameters, calculate the start and end of the mission interval to be planned, and the roll angle and pitch angle of the satellite at the target imaging time. Output the imaging mission sequence parameters, including the start imaging time, end imaging time of each area, and the satellite roll angle.

6. The method for collaborative application of linear array and planar array optical imaging payloads according to claim 1, wherein The staring imaging in step S5 includes: during the satellite's flight along the orbit, although the relative position relationship between the target area and the satellite is constantly changing, the satellite adjusts its body attitude in real time so that the optical axis of the payload always points to the center of the target, thereby achieving multiple imaging of the same target area in a short time.

7. A collaborative application system for linear array and planar array optical imaging payloads, characterized in that, It includes: Module M1: The satellite receives the imaging mission job package uploaded from the ground, parses the received imaging mission job package, and extracts information including imaging time and imaging location; the satellite attitude is changed from sun-pointing to earth-pointing, and the linear array camera and the area array camera are powered on step by step according to the on-board programmed process. Module M2: When there is a visible window for the satellite in the mission area, plan the satellite roll angle so that the linear array camera obtains the image information of the target by line-by-line pushbroom on the image plane perpendicular to the satellite flight direction, realizing large-area scanning imaging, and at the same time outputting the linear array image data. Module M3: The satellite performs real-time on-board image processing. If there is a target in the image, extract the target slice information in the image, and calculate the geographical longitude and latitude information of the target according to the target slice information, and trigger the execution of Module M4. If there is no target, repeatedly trigger the execution of Module M1 to Module M3. Module M4: Plan the shooting task priority for the target according to the geographical longitude and latitude information of the target, calculate the imaging time information required for the area array camera to shoot the target, generate the area array camera photographing delay command and the satellite attitude adjustment pointing delay command, and wait for high-resolution imaging of the target. Module M5: According to the area array camera photographing delay command and the satellite attitude adjustment pointing delay command, power on the area array camera, and the satellite adjusts its body attitude in real time so that the optical axis of the payload always points to the center of the target for continuous staring imaging, and at the same time outputs the image data; after the task is completed, the satellite returns to the steady-state flight state, and the attitude changes to sun-pointing.

8. The line array and planar array optical imaging payload collaborative application system according to claim 7, wherein The line-by-line pushbroom in Module M2 includes: the linear array camera obtains only one line of images within the camera's field of view during a single exposure imaging. As the relative movement between the satellite and the ground occurs, the linear array camera performs multiple exposures on the ground object target by line-by-line pushbroom, and finally forms a two-dimensional image for output. Module M2 includes: Assume that the total imaging duration is T, the line frequency is H, and the number of rows of the output image is L, where: L = T·H In the along-track direction, the method of splicing multiple cameras is adopted to increase the swath width to achieve global image acquisition in one pass; in the ideal case, according to the image resolution G, the total number of camera chips N, and the number of pixels of a single chip detection M, calculate the swath width W: W = G·N·M According to the shortest distance d from the center point of the area to be scanned to the satellite's sub-satellite point track and the satellite orbit altitude h, calculate the satellite roll angle θ during the scanning process:

9. The co-application system of linear array and planar array optical imaging payloads according to claim 7, characterized in that, The module M3 includes: based on the row number, column number of the target point on the strip image, the corresponding imaging time, the GNSS position and velocity vector, and the satellite attitude, coordinate transformation is performed according to the satellite geometric imaging principle to form a light beam equation where the satellite, the target point on the image, and the corresponding ground target point are collinear, and the ground coordinates of the target point are obtained by intersecting with the Earth ellipsoid equation.

10. The method for collaborative application of a linear array and a planar array optical imaging payload according to claim 7, wherein The module M4 includes: Combining the targets whose ground distances meet the preset requirements to obtain independent imaging regions, taking the target with the highest priority as the center of the region, taking the weighted sum of the priorities of all targets in the strip as the region weight, and sorting according to the priority of the best imaging time of each region center; Calculating the beginning and end of the mission interval to be planned according to the satellite orbit parameters, and the roll angle and pitch angle of the satellite at the target imaging time; Outputting the imaging mission sequence parameters, including the start imaging time, end imaging time of each region, and the satellite roll angle; The staring imaging in the module M5 includes: during the satellite's flight along the orbit, although the relative position relationship between the target area and the satellite is constantly changing, by adjusting the satellite's attitude in real time, the optical axis of the payload is always pointed at the target center, so as to achieve multiple imaging of the same target area in a short time.

Images