SAR satellite power adjusting method and device based on slant distance statistics and storage medium

Abstract

The invention discloses an SAR satellite power adjustment method and device based on slant distance statistics and a storage medium. Comprising the steps of obtaining an elevation map corresponding to a target area; based on ephemeris information of the SAR satellites, first position information corresponding to the SAR satellites and azimuth information corresponding to the first position information are determined when the SAR satellites emit electromagnetic waves to the target area; according to the multiple pieces of first position information and the elevation map, determining a first oblique distance between the SAR satellite and the target area on each piece of azimuth information; generating a distance vector corresponding to each piece of azimuth information based on the plurality of first oblique distances corresponding to each piece of azimuth information; and inputting the plurality of distance vectors into a power determination model, outputting power information corresponding to each distance vector by using the power determination model, and adjusting the transmitting power of the SAR satellite in real time based on the plurality of pieces of power information. The local overexposure phenomenon of the SAR image can be prevented.

Description

TECHNICAL FIELD

[0001] The application relates to the technical field of satellite control, in particular to a power adjustment method and device for a SAR satellite based on slant range statistics and a storage medium. BACKGROUND

[0002] A SAR image is a high-resolution radar image obtained through active microwave remote sensing technology. Unlike optical sensors, a SAR satellite does not rely on sunlight, but images by emitting electromagnetic waves and receiving the backscattering signals of a target area. Since a SAR image is not dependent on optical imaging, but is imaged by emitting electromagnetic waves, a SAR satellite can work all day and is not limited by light conditions. In addition, the microwave signals emitted by a SAR satellite can penetrate clouds and smoke, and are suitable for most areas.

[0003] Among them, since the power of the received signal of the SAR satellite and the distance follow the radar equation: Therefore, when the slant range R decreases (that is, the distance between the SAR satellite and the target area is closer), the power of the return signal received by the SAR satellite will increase sharply. Thus, if the received signal exceeds the dynamic range of the SAR satellite receiver, it may cause some areas of the generated SAR image to appear overexposed. Among them, P represents the power of the received signal of the SAR satellite, P represents the transmit power of the SAR satellite, and R represents the slant range between the SAR satellite and the target area, σ represents the target backscattering coefficient.

[0004] That is, in the case where the transmit power of the SAR satellite is fixed, when the SAR satellite is close to some areas in the target area, the SAR image may appear locally overexposed. Thus, researchers cannot monitor and study the ground area based on the SAR image.

[0005] A satellite communication transmit power adjustment method is disclosed in CN120185692A. The application first uses a spectrum monitoring device on the satellite to scan the communication frequency band and adjacent frequency bands, constructs multiple background noise power sequences and extracts background noise features; then, according to the bit error rate and signal-to-noise ratio of the satellite transmit signal, corresponding sequences are constructed, and bit error rate features and signal-to-noise ratio features are extracted; then, according to the difference between the latest bit error rate, signal-to-noise ratio and target value, a demand coefficient is obtained; finally, multiple sets of background noise features, bit error rate features, signal-to-noise ratio features and demand coefficients are input into the trained full connection layer BP neural network as samples, and the transmit power increment is obtained. Add it to the initial transmit power to determine the transmit power of the next signal.

[0006] Publication number CN117879677A, titled "Transmit Power Adjustment Method for Satellite Communication Terminal and Satellite Communication Terminal," includes the following steps: S1, obtaining satellite ephemeris data; S2, obtaining a reference transmit power for the terminal based on the satellite ephemeris data, and determining a satellite transit time period based on the satellite ephemeris data; S3, obtaining satellite broadcast data and satellite-to-ground link status parameters, determining different satellite transit phases based on the broadcast data, and adjusting the reference transmit power using the satellite-to-ground link status parameters during the different satellite transit phases.

[0007] With respect to the technical problem in the above-mentioned prior art that, when the transmission power of the SAR satellite is fixed, if the SAR satellite is close to part of the target area, the generated SAR image may be partially overexposed, no effective solution has been proposed so far. Summary of the Invention

[0008] Embodiments of the present disclosure provide a SAR satellite power regulation method, apparatus, and storage medium based on slant range statistics, to at least address the technical problem in the prior art that, when the SAR satellite's transmission power is fixed, if the SAR satellite is relatively close to part of the target area, the generated SAR image may be partially overexposed.

[0009] According to one aspect of an embodiment of the present disclosure, a power adjustment method for a SAR satellite based on slant range statistics is provided, comprising: obtaining an elevation map corresponding to a target area, wherein the elevation map is used to display the surface morphology, elevation values, and the proportional relationship between the elevation map and the actual terrain of the target area; determining, based on the ephemeris information of the SAR satellite, first position information corresponding to the SAR satellite and azimuth information corresponding to each first position information when the SAR satellite transmits electromagnetic waves to the target area; determining, based on multiple first position information and the elevation map, a first slant distance between the SAR satellite and the target area in each azimuth information; generating, based on multiple first slant distances corresponding to each azimuth information, a distance vector corresponding to each azimuth information; and inputting the multiple distance vectors into a pre-trained power determination model, outputting power information corresponding to each distance vector using the power determination model, and adjusting the transmission power of the SAR satellite in real time based on the multiple power information.

[0010] According to another aspect of an embodiment of the present disclosure, a storage medium is further provided, the storage medium including a stored program, wherein when the program is run, a processor executes any one of the above methods.

[0011] According to another aspect of the embodiments of the present disclosure, a power adjustment device of a SAR satellite based on slant range statistics is also provided, which comprises: an elevation map acquisition module, configured to acquire an elevation map corresponding to a target area, wherein the elevation map is used to display the surface morphology of the target area, the elevation value, and the proportional relationship between the elevation map and the actual terrain of the target area; a first information determination module, configured to determine, based on ephemeris information of the SAR satellite, corresponding first position information of the SAR satellite when the SAR satellite transmits electromagnetic waves to the target area, and azimuth direction information corresponding to each first position information; a first slant distance determination module, configured to determine, according to the plurality of first position information and the elevation map, first slant distances between the SAR satellite and the target area in each azimuth direction information; a first distance vector generation module, configured to generate distance vectors corresponding to each azimuth direction information based on the plurality of first slant distances corresponding to each azimuth direction information respectively; and a power adjustment module, configured to input the plurality of distance vectors into a pre-trained power determination model respectively, output power information corresponding to each distance vector by using the power determination model, and adjust the transmission power of the SAR satellite in real time based on the plurality of power information.

[0012] According to another aspect of the embodiments of the present disclosure, a power adjustment device of a SAR satellite based on slant range statistics is also provided, which comprises: a processor; and a memory connected with the processor, configured to provide the processor with instructions to process the following processing steps: acquiring an elevation map corresponding to a target area, wherein the elevation map is used to display the surface morphology of the target area, the elevation value, and the proportional relationship between the elevation map and the actual terrain of the target area; determining, based on ephemeris information of the SAR satellite, corresponding first position information of the SAR satellite when the SAR satellite transmits electromagnetic waves to the target area, and azimuth direction information corresponding to each first position information; determining, according to the plurality of first position information and the elevation map, first slant distances between the SAR satellite and the target area in each azimuth direction information; generating distance vectors corresponding to each azimuth direction information based on the plurality of first slant distances corresponding to each azimuth direction information respectively; and inputting the plurality of distance vectors into a pre-trained power determination model respectively, outputting power information corresponding to each distance vector by using the power determination model, and adjusting the transmission power of the SAR satellite in real time based on the plurality of power information.

[0013] The application provides a power adjustment method of a SAR satellite based on slant range statistics. First, a processor acquires an elevation map corresponding to a target area. Then, the processor determines first position information corresponding to the SAR satellite and azimuth information corresponding to each first position information when the SAR satellite emits electromagnetic waves to the target area based on ephemeris information of the SAR satellite. Further, the processor determines first slant ranges between the SAR satellite and the target area on each azimuth information according to the plurality of first position information and the elevation map. Then, the processor generates distance vectors corresponding to each azimuth information based on the plurality of first slant ranges corresponding to each azimuth information. Finally, the processor inputs the plurality of distance vectors into a pre-trained power determination model, outputs power information corresponding to each distance vector by using the power determination model, and adjusts the emission power of the SAR satellite in real time based on the plurality of power information.

[0014] As can be seen from the above, the application first determines a plurality of first slant ranges between the SAR satellite and the target area on each azimuth information by using the elevation map corresponding to the target area and the ephemeris information. That is, before the SAR satellite emits electromagnetic waves to the target area, the processor determines the change of the first slant range between the SAR satellite and the target area on each azimuth information.

[0015] And when the SAR satellite determines the plurality of first slant ranges between the SAR satellite and the target area on each azimuth information, the distance vectors corresponding to each azimuth information are input into the power determination model, so as to determine the power information corresponding to each azimuth information. That is, when the SAR satellite generates a SAR image, the power change of the SAR satellite when emitting electromagnetic waves to the target area on each azimuth information.

[0016] Therefore, the processor can determine appropriate power information according to the change of the first slant range corresponding to each azimuth information, and adjust the emission power of the laser emitter of the SAR satellite in real time according to the change of the power information corresponding to each azimuth. That is, since the power of the electromagnetic waves emitted by the SAR satellite is in dynamic adjustment, even if the SAR satellite is close to part of the target area, the SAR satellite can avoid the local overexposure phenomenon of the generated SAR image by dynamically adjusting the emission power of the emitter.

[0017] Further, the technical problem that the generated SAR image may appear local overexposure phenomenon when the SAR satellite is close to part of the target area under the condition that the emission power of the SAR satellite is fixed in the prior art is solved. BRIEF DESCRIPTION OF DRAWINGS

[0018] The accompanying drawings, which are included to provide a further understanding of the disclosure and are incorporated in and constitute a part of this application, illustrate embodiments of the disclosure and together with the description serve to explain the disclosure. In the drawings: Figure 1 is a schematic diagram of a SAR satellite and terminal device communication connection system according to Embodiment 1 of the present application; Figure 2A is a schematic diagram of a hardware architecture of a SAR satellite according to Embodiment 1 of the present application; Figure 2B is a schematic diagram of a hardware architecture of a terminal device according to Embodiment 1 of the present application; Figure 3 is a flow chart of a SAR satellite power adjustment method based on slant range statistics according to Embodiment 1 of the present application; Figure 4 is a structured schematic diagram of a power determination model according to Embodiment 1 of the present application; Figure 5 is a schematic diagram of a SAR satellite power adjustment device based on slant range statistics according to Embodiment 2 of the present application; Figure 6 is a schematic diagram of a SAR satellite power adjustment device based on slant range statistics according to Embodiment 3 of the present application. DETAILED DESCRIPTION

[0019] In order to make the technical personnel in the art better understand the technical solutions of the present disclosure, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the drawings in the embodiments of the present disclosure. Obviously, the described embodiments are only a part of the embodiments of the present disclosure, not all. Based on the embodiments in the present disclosure, all other embodiments obtained by those of ordinary skill in the art without creative labor should be within the scope of protection of the present disclosure.

[0020] It should be noted that the terms "first", "second", and the like in the specification and claims of the present disclosure and the above-described drawings are used to distinguish similar objects, and do not necessarily have to describe a specific order or sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the present disclosure described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device that includes a series of steps or units does not have to be limited to those steps or units clearly listed, but can include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0021] Embodiment 1 According to the embodiment, a method embodiment of power adjustment of a SAR satellite based on slant range statistics is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from here.

[0022] Figure 1 A schematic diagram of a communication connection system of a SAR satellite and a terminal device according to the embodiment is shown. The system includes a terminal device 10, a ground system 20 and a SAR satellite 30. The terminal device 10 sends an instruction to the SAR satellite 30 through the ground system 20 to generate a SAR image corresponding to a target area. The processor of the SAR satellite 30 is used to obtain an elevation map corresponding to the target area, and based on the ephemeris information pre-stored by the SAR satellite 30, determine the first position information corresponding to the SAR satellite 30 when the SAR satellite 30 emits electromagnetic waves to the target area and the azimuth information corresponding to each first position information. The processor (referring to the processor of the SAR satellite 30 described above, the same below) is also used to determine the first slant distance between the SAR satellite 30 and the target area on each azimuth information according to the plurality of first position information and the elevation map. The processor is also used to input the distance vector corresponding to each azimuth information into the power determination model, and output the power information corresponding to each distance vector. Wherein, the distance vector includes a plurality of first slant distances corresponding to the azimuth information.

[0023] The processor is also used to adjust the emission power of the laser emitter in the SAR satellite 30 in real time based on the plurality of power information.

[0024] And in the case that the SAR satellite 30 generates a SAR image corresponding to the target area, the SAR image is sent to the terminal device 10 through the ground system 20.

[0025] Figure 2A Further shown is Figure 1 A schematic diagram of the hardware architecture of the SAR satellite 30 in the embodiment is shown. Referring to Figure 2AAs shown, the SAR satellite 30 comprises an integrated electronic system, which comprises a processor, a memory, a bus management module and a communication interface. The memory is connected with the processor, so that the processor can access the memory, read program instructions stored in the memory, read data from the memory or write data to the memory. The bus management module is connected with the processor and also connected with a bus, for example, a CAN bus. Therefore, the processor can communicate with the on-board peripherals connected with the bus through the bus managed by the bus management module. In addition, the processor is also in communication connection with devices such as cameras, star sensors, TT&C transponders and data transmission devices via the communication interface. Those skilled in the art can understand that Figure 2A The structure shown is only schematic, and does not limit the structure of the above-mentioned electronic device. For example, the satellite system can further comprise more or less components than those shown in Figure 2A or have a different configuration from Figure 2A that shown.

[0026] Figure 2B Further shown is a schematic diagram of the hardware architecture of the terminal device 10 in Figure 1 Reference is made to Figure 2B As shown, the terminal device 10 can comprise one or more processors (the processor can comprise but is not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA), a memory for storing data, a transmission device for communication function and an input / output interface. The memory, the transmission device and the input / output interface are connected with the processor through a bus. In addition, a display, a keyboard and a cursor control device connected with the input / output interface can also be included. Those skilled in the art can understand that Figure 2B The structure shown is only schematic, and does not limit the structure of the above-mentioned electronic device. For example, the ground system can further comprise more or less components than those shown in Figure 2B or have a different configuration from Figure 2B that shown.

[0027] It should be noted that Figure 2A and Figure 2B One or more processors and / or other data processing circuits shown in may be referred to herein generally as "data processing circuits". The data processing circuits can be embodied in whole or in part as software, hardware, firmware, or any combination thereof. In addition, the data processing circuits can be a single independent processing module, or be incorporated in whole or in part into any one of other elements in the computing device. As referred to in the embodiments of the present disclosure, the data processing circuit serves as a processor to control, for example, the selection of the variable resistance terminal path connected with the interface.

[0028] Figure 2A and Figure 2BThe memory shown in FIG. 1 can be used to store software programs of application software and modules, such as program instructions / data storage devices corresponding to the power adjustment method of the SAR satellite based on slant range statistics in the embodiments of the present disclosure. The processor executes various functional applications and data processing by running the software programs and modules stored in the memory, that is, implements the power adjustment method of the SAR satellite based on slant range statistics of the application program described above. The memory can include a high-speed random access memory, and can also include a non-volatile memory, such as one or more magnetic storage devices, flash memories, or other non-volatile solid-state memories.

[0029] It should be noted that in some optional embodiments, the above-mentioned Figure 2A and Figure 2B The device shown in FIG. 1 can include hardware elements (including circuits), software elements (including computer code stored on a computer-readable medium), or a combination of both hardware and software elements. It should be noted that Figure 2A and Figure 2B is only an example of a specific embodiment, and is intended to show the types of components that can be present in the above-described device.

[0030] Under the above operating environment, according to a first aspect of the present embodiment, a power adjustment method of a SAR satellite based on slant range statistics is provided, which is implemented by Figure 1 the processor of the SAR satellite 30 shown in FIG. 1. Figure 3 The flowchart of the method is shown, and with reference to Figure 3 The method includes: S302: Obtain an elevation map corresponding to a target area, wherein the elevation map is used to display the surface morphology, elevation value of the target area, and the proportional relationship between the elevation map and the actual terrain of the target area; S304: Based on the ephemeris information of the SAR satellite, determine the first position information corresponding to the SAR satellite when the SAR satellite transmits electromagnetic waves to the target area, and the azimuth information corresponding to each first position information; S306: According to the plurality of first position information and the elevation map, determine the first slant range between the SAR satellite and the target area on each azimuth information; S308: Based on the plurality of first slant ranges corresponding to each azimuth information, generate a distance vector corresponding to each azimuth information; and S310: Input the plurality of distance vectors into the pre-trained power determination model respectively, output the power information corresponding to each distance vector by using the power determination model, and adjust the transmission power of the SAR satellite in real time based on the plurality of power information.

[0031] Specifically, first, the operator uses the terminal device 10 and sends an instruction to the SAR satellite 30 through the ground system 20 to generate a SAR image corresponding to the target area. The processor of the SAR satellite 30 receives and responds to the instruction to obtain an elevation map corresponding to the target area (S302). The elevation map is used to represent the topography of the target area. When there are terrain objects such as buildings in the target area, the elevation map can use contour lines or a three-dimensional model to show the ups and downs of the terrain objects in the target area.

[0032] In addition, the elevation map corresponding to the target area also includes specific elevation values corresponding to the contour lines, and a proportional relationship between the elevation map and the actual terrain of the target area. It is worth noting that the elevation map corresponding to the target area can be pre-stored in the storage module, so that the processor can call the elevation map corresponding to the target area from the storage module.

[0033] Then, the processor determines the first position information corresponding to the SAR satellite and the azimuth direction information corresponding to each first position information when the SAR satellite emits electromagnetic waves to the target area based on the ephemeris information of the SAR satellite (S304). The ephemeris information corresponding to the SAR satellite 30 can be pre-stored in the storage module, so that the processor can call the ephemeris information from the storage module. The ephemeris information records the position information (such as longitude information, latitude information, and altitude information) and velocity vector information (including the direction of motion and the speed of the SAR satellite 30) of the SAR satellite 30 in orbit.

[0034] Therefore, when the processor calls the ephemeris information corresponding to the SAR satellite 30, the first position information corresponding to the SAR satellite 30 and the speed information when the SAR satellite 30 emits electromagnetic waves to the target area are determined based on the ephemeris information corresponding to the SAR satellite 30. Then, the processor calculates the instantaneous motion direction of the SAR satellite 30 according to the speed information. Then, the processor calculates the instantaneous motion direction of the SAR satellite 30 according to the speed information. Finally, the processor calculates the azimuth angle information of the SAR satellite 30 based on the instantaneous motion direction of the SAR satellite 30, and takes the azimuth angle information as the azimuth direction information of the SAR satellite 30. The above will be described in detail later, so it will not be described here.

[0035] Further, the processor determines first slant ranges between the SAR satellite and the target region on each azimuth information according to the plurality of first position information and the elevation map (S306). Since the coordinate system of the elevation map (for example, a geographic coordinate system) is different from the coordinate system of the SAR satellite 30 (for example, a geocentric coordinate system), the position information and the height information corresponding to the elevation map in the geographic coordinate system need to be converted into a plurality of second position information at the corresponding terrain of the target region in the geocentric coordinate system.

[0036] First, the processor obtains an elevation value corresponding to the actual terrain of the target region on each azimuth information from the elevation map. The elevation value includes the elevation position information and the elevation height information at the corresponding terrain of the target region. Then, the processor determines a plurality of second position information at the corresponding terrain of the target region based on the elevation position information, the elevation height information and the scale relationship at the corresponding terrain of the target region. Finally, the processor determines the first slant range between the SAR satellite 30 and the corresponding terrain of the target region on the corresponding azimuth information according to the first position information and each second position information. The above content will be described in detail later, and therefore will not be described here.

[0037] For example, the processor determines the first position information corresponding to the SAR satellite 30 when the SAR satellite 30 emits electromagnetic waves to the target region based on the ephemeris information of the SAR satellite 30 ~ . Wherein the first position information , represents the longitude information corresponding to the SAR satellite 30, P represents the latitude information corresponding to the SAR satellite 30, represents the height information corresponding to the SAR satellite 30. And wherein i=1~n.

[0038] At the same time, the processor determines the azimuth information corresponding to each first position information ~ ~ .

[0039] Then the processor determines a plurality of first slant ranges between the SAR satellite 30 and the target region on each azimuth information according to the plurality of first position information ~ and the elevation map. Wherein there are a plurality of first slant ranges corresponding to the azimuth information ~ ; there are a plurality of first slant ranges corresponding to the azimuth information ~ ; and so on; there are a plurality of first slant ranges​ corresponding to the plurality of first slant ranges .

[0040] Afterwards, the processor generates distance vectors corresponding to the respective azimuth information based on the plurality of first slant ranges corresponding to the respective azimuth information (S308). For example, the processor has determined the azimuth information corresponding to the plurality of first slant ranges corresponding to the azimuth information corresponding to the plurality of first slant ranges corresponding to the azimuth information corresponding to the plurality of first slant ranges corresponding to the azimuth information corresponding to the distance vector corresponding to the azimuth information corresponding to the distance vector corresponding to the azimuth information corresponding to the distance vector .

[0041] Finally, the processor inputs the plurality of distance vectors into the pre-trained power determination model respectively, outputs power information corresponding to the respective distance vectors by using the power determination model, and adjusts the transmission power of the SAR satellite 30 in real time based on the plurality of power information (S310). The power determination model includes a convolutional neural network model, an LSTM model, and a fully connected layer.

[0042] And in the case that the processor inputs the respective distance vectors into the power determination model, since the sizes of the first slant ranges contained in the respective distance vectors are different, the power information output by the power determination model corresponds to the size of the first slant range. Therefore, when the SAR satellite 30 moves to the corresponding azimuth, the laser transmitter can be controlled to emit electromagnetic waves corresponding to the corresponding power information according to the determined power information.

[0043] As described in the background, since the power of the signal received by the SAR satellite and the distance follow the radar equation: , therefore, when the slant range R decreases (i.e., the distance between the SAR satellite and the target area is closer), the power of the return signal received by the SAR satellite will increase sharply. Therefore, if the received signal exceeds the dynamic range of the SAR satellite receiver, it may cause some areas of the generated SAR image to appear overexposed. Among them, represents the power of the signal received by the SAR satellite, ​​​​represents a transmission power of the SAR satellite, R represents a slant range between the SAR satellite and the target region, represents a backscattering coefficient of the target.

[0044] That is, in the case that the transmission power of the SAR satellite is fixed, when the SAR satellite is close to a part of the target region, the SAR image generated by the SAR satellite may be locally overexposed. Thus, researchers cannot monitor and study the ground region based on the SAR image.

[0045] Therefore, the processor determines the first slant distances between the SAR satellite and the target region in each azimuth information before the SAR satellite transmits electromagnetic waves to the target region.

[0046] In the case that the SAR satellite determines the first slant distances between the SAR satellite and the target region in each azimuth information, the distance vectors corresponding to each azimuth information are respectively input into the power determination model, so that the power information corresponding to each azimuth information can be determined. That is, when the SAR satellite generates the SAR image, the SAR satellite determines the power variation of the electromagnetic waves transmitted to the target region in each azimuth information.

[0047] Thus, the processor can determine the appropriate power information according to the variation of the first slant distance corresponding to each azimuth information, and adjust the transmission power of the laser transmitter of the SAR satellite in real time according to the variation of the power information corresponding to each azimuth information. That is, since the power of the electromagnetic waves transmitted by the SAR satellite is dynamically adjusted, even if the SAR satellite is close to a part of the target region, the SAR satellite can avoid the locally overexposed SAR image by dynamically adjusting the transmission power of the transmitter.

[0048] Further, the technical problem that, in the prior art, if the SAR satellite is close to a part of the target region in the case that the transmission power of the SAR satellite is fixed, the SAR image generated by the SAR satellite may be locally overexposed is solved.

[0049] Optionally, based on the ephemeris information of the SAR satellite, the operation of determining the first position information corresponding to the SAR satellite and the azimuth direction information corresponding to each first position information when the SAR satellite emits electromagnetic waves to the target area comprises: based on the ephemeris information of the SAR satellite, determining the first position information corresponding to the SAR satellite and the velocity information when the SAR satellite emits electromagnetic waves to the target area; calculating the instantaneous motion direction of the SAR satellite according to the velocity information; and calculating the azimuth angle information of the SAR satellite based on the instantaneous motion direction of the SAR satellite, and taking the azimuth angle information as the azimuth direction information of the SAR satellite.

[0050] Specifically, since the ephemeris information of the SAR satellite 30 contains position vector information and velocity vector information, the first position information corresponding to the SAR satellite 30 and the velocity information when the SAR satellite 30 moves to the target area can be determined ~ and the velocity information ~ .

[0051] Then, the processor calculates the instantaneous motion direction of the SAR satellite 30 and normalizes it according to the velocity information:

[0052] wherein, represents the instantaneous motion direction of the SAR satellite 30 in each azimuth direction information, i=1~n.

[0053] Further, the processor calculates the basis vectors of the station-centered coordinate system (eastward), (northward), and (skyward). Then, the instantaneous motion direction is projected to the station-centered coordinate system, and the calculation formula is as follows:

[0054]

[0055]

[0056] wherein, represents the eastward coordinate of the instantaneous motion direction in the station-centered coordinate system, represents the northward coordinate of the instantaneous motion direction in the station-centered coordinate system, represents the skyward coordinate of the instantaneous motion direction in the station-centered coordinate system.

[0057] Finally, the processor calculates the azimuth angle information of the SAR satellite 30. The calculation formula is as follows:

[0058] wherein, indicates azimuth angle information corresponding to each first position information.

[0059] Thus, in the case that the processor determines the azimuth angle information corresponding to each first position information, the azimuth angle information is taken as the azimuth information corresponding to the SAR satellite 30.

[0060] Optionally, the operation of determining the first slant distance between the SAR satellite and the target region on each azimuth information according to the plurality of first position information and the elevation map comprises: obtaining, from the elevation map, an elevation value corresponding to an actual terrain of the target region on each azimuth information, wherein the elevation value comprises elevation position information and elevation height information at the actual terrain of the target region; determining a plurality of second position information at the actual terrain of the target region based on the elevation position information, the elevation height information and a proportional relationship; and determining the first slant distance between the SAR satellite and the actual terrain of the target region on the corresponding azimuth information according to the first position information and each second position information.

[0061] Specifically, first, the processor obtains, from the elevation map, an elevation value corresponding to an actual terrain of the target region on each azimuth information ~ , for example, the elevation value corresponding to the azimuth information , ~ the elevation value corresponding to the azimuth information , ~ the elevation value corresponding to the azimuth information , ~ .

[0062] wherein the elevation value comprises elevation position information and elevation height information at the actual terrain of the target region. For example, the first position information , indicates longitude information corresponding to the actual terrain of the target region, W indicates latitude information corresponding to the actual terrain of the target region, indicates height information corresponding to the actual terrain of the target region. And wherein i=1~n, j=1~m.

[0063] Then, the processor calculates a plurality of second position information at the actual terrain of the target region based on the elevation position information and the elevation height information at the actual terrain of the target region according to a proportional relationship between the elevation map and the actual terrain of the target region. The calculation formula is as follows:

[0064] wherein, represents the second position information corresponding to the target area, i = 1 ~ n, j = 1 ~ m.

[0065] And wherein the second position information , represents the longitude information corresponding to the second position information, P represents the latitude information corresponding to the second position information, represents the height information corresponding to the second position information.

[0066] Finally, the processor determines the first slant range of the SAR satellite 30 at the corresponding position of the target area according to the first position information and each second position information. For example, the processor can determine a plurality of first slant ranges corresponding to the azimuth information according to the first position information and the second position information . The calculation formula is as follows:

[0067] wherein, represents a plurality of first slant ranges corresponding to the azimuth information , j = 1 ~ m.

[0068] Similarly, the first slant range corresponding to the azimuth information , the first slant range corresponding to the azimuth information ,..., the first slant range corresponding to the azimuth information can be determined based on the same manner as described above.

[0069] Optionally, wherein the power determination model comprises a convolutional neural network model, an LSTM model and a full connection layer, further comprising: pre-training the power determination model, wherein the operation of pre-training the power determination model comprises: collecting SAR image samples corresponding to each reference area, wherein the slant range between the SAR satellite and the reference area is the same at each azimuth information of the reference area, and the slant range between the SAR satellite and each reference area is different; respectively determining the second slant range corresponding to the azimuth information of each SAR image sample, and constructing the distance vector sample corresponding to each azimuth information based on the second slant range; obtaining the power information sample when the SAR satellite emits electromagnetic waves to each reference area; and taking the distance vector sample corresponding to each reference area as the input sample, taking the power information sample as the output sample, and training the power determination model by using the input sample and the output sample.

[0070] Specifically, the processor needs to train the power determination model in advance when calculating the power information corresponding to each azimuth information by using the power determination model. Figure 4 is a schematic diagram of the power determination model according to an embodiment of the present application. Referring to Figure 4 , the power determination model includes a convolutional neural network model, an LSTM model, and a fully connected layer.

[0071] First, the processor obtains SAR image samples corresponding to each reference area from a storage module of the SAR satellite 30 ~ . Since the purpose of the present application is to dynamically adjust the power information corresponding to different slant distances, the slant distance between the SAR satellite 30 and the actual terrain of the reference area is the same for each azimuth information of the reference area. In addition, in order to meet the diversity of samples, the slant distance between the SAR satellite 30 and each reference area is different.

[0072] Then, the processor determines a plurality of second slant distances corresponding to the azimuth information in each SAR image sample ~ based on each SAR image sample ~ . Among them, the SAR image sample shows a plurality of second slant distances corresponding to each azimuth information. For example, the azimuth information of the SAR image sample includes ~ . The azimuth information corresponds to a plurality of second slant distances ~ ; the azimuth information corresponds to a plurality of second slant distances ~ ;...; the azimuth information corresponds to a plurality of second slant distances ~ .

[0073] For another example, the azimuth information of the SAR image sample includes ~ . The azimuth information corresponds to a plurality of second slant distances ~ ; the azimuth information corresponds to a plurality of second slant distances ~ ;...; the azimuth information corresponds to a plurality of second slant distances ~ .

[0074] and so on.

[0075] For another example, the azimuth information of the SAR image sample includes ~ The azimuth information corresponds to a plurality of second slant distances ~ The azimuth information corresponds to a plurality of second slant distances ~ The azimuth information corresponds to a plurality of second slant distances ~ .

[0076] Further, the processor constructs a plurality of range vector samples corresponding to the plurality of azimuth information in each SAR image sample according to the plurality of second slant distances corresponding to each azimuth information in each SAR image sample. For example, the processor determines a range vector sample corresponding to each azimuth information in the SAR image sample ~ . ~ The range vector sample corresponding to the azimuth information , the range vector sample corresponding to the azimuth information , the range vector sample corresponding to the azimuth information , and the range vector sample corresponding to the azimuth information . .

[0077] For another example, the processor determines a range vector sample corresponding to each azimuth information in the SAR image sample ~ . ~ .

[0078] and so on.

[0079] For another example, the processor can determine a range vector sample corresponding to each azimuth information in the SAR image sample ~ . ~ .

[0080] ​Then the processor acquires the power information sample when the SAR satellite 30 emits electromagnetic waves to each reference area. For example, the processor acquires the power information sample when the SAR satellite 30 emits electromagnetic waves to each reference area

[0081] Finally, the processor takes the plurality of distance vector samples corresponding to each reference area as input samples, takes the power information samples corresponding to each reference area as output samples, and trains the power determination model by using the input samples and the output samples.

[0082] Thus, according to the first aspect of the embodiment, the technical effect that the emission power of the SAR satellite can be dynamically adjusted according to the slant range variation, and thus the local overexposure phenomenon in the SAR image generated by the SAR satellite is prevented, is achieved.

[0083] In addition, as shown in Figure 1 According to the second aspect of the embodiment, a storage medium is provided. The storage medium includes a stored program, wherein the program is executed by a processor to perform the method described in any one of the above embodiments.

[0084] Thus, according to the embodiment, the technical effect that the emission power of the SAR satellite can be dynamically adjusted according to the slant range variation, and thus the local overexposure phenomenon in the SAR image generated by the SAR satellite is prevented, is achieved.

[0085] It should be noted that, for the above-mentioned method embodiments, in order to simply describe, they are all described as a series of action combinations, but those skilled in the art should know that the present application is not limited to the action sequence described, because according to the present application, certain steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should know that the embodiments described in the specification all belong to preferred embodiments, and the actions and modules involved are not necessarily essential to the present application.

[0086] From the above description of the embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be realized by means of software and the necessary general hardware platform, of course, it can also be realized by hardware, but in many cases the former is a better embodiment. Based on such understanding, the technical solutions of the present application can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes a plurality of instructions for making a terminal device (which can be a mobile phone, computer, server, or network device, etc.) execute the method described in each embodiment of the present application.

[0087] Embodiment 2 ​​Figure 5 A power adjustment device 500 of a SAR satellite based on slant range statistics is shown according to the embodiment, which corresponds to the method according to the first aspect of the embodiment 1. Referring to the shown, the device 500 comprises: an elevation map acquisition module 510, configured to acquire an elevation map corresponding to a target area, wherein the elevation map is used to display the surface morphology of the target area, the elevation value, and the scale relationship between the elevation map and the actual terrain of the target area; a first information determination module 520, configured to determine, based on ephemeris information of the SAR satellite, corresponding first position information of the SAR satellite when the SAR satellite emits electromagnetic waves to the target area, and azimuth direction information corresponding to each first position information; a first slant distance determination module 530, configured to determine, according to the plurality of first position information and the elevation map, the first slant distance between the SAR satellite and the target area on each azimuth direction information; a first distance vector generation module 540, configured to generate a distance vector corresponding to each azimuth direction information based on a plurality of first slant distances corresponding to each azimuth direction information respectively; and a power adjustment module 550, configured to input the plurality of distance vectors into a pre-trained power determination model respectively, output power information corresponding to each distance vector by using the power determination model, and adjust the emission power of the SAR satellite in real time based on the plurality of power information. Figure 5

[0088] Optionally, the first information determination module 520 comprises: a second information determination module, configured to determine, based on the ephemeris information of the SAR satellite, the first position information corresponding to the SAR satellite when the SAR satellite emits electromagnetic waves to the target area, and the velocity information; a motion direction calculation module, configured to calculate the instantaneous motion direction of the SAR satellite according to the velocity information; and a first information determination sub-module, configured to calculate the azimuth angle information of the SAR satellite based on the instantaneous motion direction of the SAR satellite, and take the azimuth angle information as the azimuth direction information of the SAR satellite.

[0089] Optionally, the first slant distance determination module 530 comprises: an elevation value determination module, configured to acquire, from the elevation map, the elevation value corresponding to the actual terrain of the target area on each azimuth direction information, wherein the elevation value comprises the elevation position information and the elevation height information of the corresponding terrain of the target area; a third information determination module, configured to determine, based on the elevation position information, the elevation height information, and the scale relationship of the corresponding terrain of the target area, a plurality of second position information of the corresponding terrain of the target area; and a first slant distance determination sub-module, configured to determine, according to the first position information and each second position information, the first slant distance between the SAR satellite and the corresponding terrain of the target area on the corresponding azimuth direction information.

[0090] ​Optionally, the power determination model comprises a convolutional neural network model, an LSTM model, and a full connection layer, and the device 500 further comprises a model training module for training the power determination model in advance, wherein the model training module comprises an SAR image sample collection module for collecting SAR image samples corresponding to the reference regions, wherein the slant range between the SAR satellite and the reference regions is the same on the azimuth information of the reference regions, and the slant range between the SAR satellite and each reference region is different; a distance vector sample construction module for determining a plurality of second slant ranges corresponding to the azimuth information of each SAR image sample respectively, and constructing a distance vector sample corresponding to each azimuth information based on the plurality of second slant ranges; a power information sample acquisition module for acquiring power information samples of the SAR satellite transmitting electromagnetic waves to the reference regions; and a model training sub-module for taking the distance vector sample corresponding to each reference region as an input sample, taking the power information sample as an output sample, and training the power determination model by using the input sample and the output sample.

[0091] Thus, according to the embodiment, the technical effect that the transmission power of the SAR satellite can be dynamically adjusted according to the slant range change, and the local overexposure phenomenon of the SAR image generated by the SAR satellite is prevented, is achieved.

[0092] Embodiment 3 Figure 6 A power adjustment device 600 of a SAR satellite based on slant range statistics according to the embodiment is shown, which corresponds to the method according to embodiment 1. Referring to Figure 6 The device 600 comprises a processor 610 and a memory 620 connected with the processor 610, for providing the processor 610 with instructions for processing the following processing steps: acquiring an elevation map corresponding to the target region, wherein the elevation map is used to display the ground surface morphology, the elevation value of the target region, and the proportional relationship between the elevation map and the actual terrain of the target region; determining the corresponding first position information of the SAR satellite and the azimuth information corresponding to each first position information when the SAR satellite transmits electromagnetic waves to the target region based on the ephemeris information of the SAR satellite; determining the first slant range between the SAR satellite and the target region on each azimuth information according to the plurality of first position information and the elevation map; generating a distance vector corresponding to each azimuth information based on the plurality of first slant ranges corresponding to each azimuth information respectively; and inputting the plurality of distance vectors into a pre-trained power determination model, outputting power information corresponding to each distance vector by using the power determination model, and adjusting the transmission power of the SAR satellite in real time based on the plurality of power information.

[0093] Optionally, the operation of determining, based on the ephemeris information of the SAR satellite, the corresponding first position information of the SAR satellite when the SAR satellite emits electromagnetic waves to the target area and the azimuth direction information corresponding to each first position information comprises: determining, based on the ephemeris information of the SAR satellite, the corresponding first position information of the SAR satellite when the SAR satellite emits electromagnetic waves to the target area and the velocity information; calculating the instantaneous motion direction of the SAR satellite according to the velocity information; and calculating the azimuth angle information of the SAR satellite based on the instantaneous motion direction of the SAR satellite, and taking the azimuth angle information as the azimuth direction information of the SAR satellite.

[0094] Optionally, the operation of determining, based on the plurality of first position information and the elevation map, the first slant distance between the SAR satellite and the target area on each azimuth direction information comprises: obtaining, from the elevation map, an elevation value corresponding to the actual terrain of the target area on each azimuth direction information, wherein the elevation value comprises elevation position information and elevation height information of the corresponding terrain of the target area; determining a plurality of second position information of the corresponding terrain of the target area based on the elevation position information, the elevation height information and the proportional relationship; and determining the first slant distance between the SAR satellite and the corresponding terrain of the target area on the corresponding azimuth direction information according to the first position information and each second position information.

[0095] Optionally, the power determination model comprises a convolutional neural network model, an LSTM model and a full connection layer, and the method further comprises: pre-training the power determination model, wherein the operation of pre-training the power determination model comprises: collecting SAR image samples corresponding to each reference area, wherein the slant distance between the SAR satellite and each reference area is the same on each azimuth direction information of the reference area, and the slant distance between the SAR satellite and each reference area is different; determining a plurality of second slant distances corresponding to the azimuth direction information of each SAR image sample respectively, and constructing a distance vector sample corresponding to each azimuth direction information based on the plurality of second slant distances; obtaining a power information sample when the SAR satellite emits electromagnetic waves to each reference area; and taking the distance vector sample corresponding to each reference area as an input sample, taking the power information sample as an output sample, and training the power determination model by using the input sample and the output sample.

[0096] Thus, according to the embodiment, the technical effect that the emission power of the SAR satellite can be dynamically adjusted according to the slant distance change, and the local overexposure phenomenon of the SAR image generated by the SAR satellite is prevented.

[0097] The above-mentioned serial numbers of the embodiments of the application are only for description, and do not represent the advantages and disadvantages of the embodiments.

[0098] In the above-mentioned embodiments of the present application, the description of each embodiment is focused on, and the part not described in detail in a certain embodiment can be referred to the relevant description of other embodiments.

[0099] In several embodiments provided in the present application, it should be understood that the disclosed technical contents can be implemented by other ways. Among them, the above-mentioned device embodiments are only schematic, for example, the division of the units is only a logical function division, and actual implementation can have another division way, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units or modules shown or discussed can be indirect coupling or communication connection through some interfaces, units or modules, which can be electrical or other forms.

[0100] The units described as separate components can or can not be physically separate, and the components shown as units can or can not be physical units, that is, they can be located in one place, or they can be distributed on a plurality of network units. Part or all of the units can be selected to achieve the purpose of the embodiment scheme according to actual needs.

[0101] In addition, each functional unit in each embodiment of the present application can be integrated in a processing unit, or each unit can exist physically, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of a software functional unit.

[0102] The integrated unit, if realized in the form of a software functional unit and sold or used as an independent product, can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application essentially or the part that contributes to the prior art or the whole or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium, including a plurality of instructions for causing a computer device (which can be a personal computer, a server or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The foregoing storage medium includes: a U disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a mobile hard disk, a magnetic disk or an optical disk, and various media that can store program codes.

[0103] The above-mentioned is only the preferred embodiment of the present application, and it should be pointed out that for ordinary skilled in the art, without departing from the principles of the present application, a number of improvements and refinements can be made, and these improvements and refinements should be regarded as the protection scope of the present application.

Claims

1. A SAR satellite power regulation method based on slant range statistics, applied to SAR satellites, characterized in that: include: Acquire an elevation map corresponding to a target area, wherein the elevation map is used to display the surface morphology and elevation values ​​of the target area and a proportional relationship between the elevation map and the actual terrain of the target area; determining, based on the ephemeris information of the SAR satellite, first position information corresponding to the SAR satellite and azimuth information corresponding to each piece of first position information when the SAR satellite transmits electromagnetic waves to the target area; Determining, based on the plurality of first position information and the elevation map, a plurality of first slant distances between the SAR satellite and the target area in each azimuth information; generating, based on a plurality of first slant distances respectively corresponding to the respective azimuth information, distance vectors respectively corresponding to the respective azimuth information; as well as Multiple distance vectors are respectively input into a pre-trained power determination model, the power determination model is used to output power information corresponding to each distance vector, and the transmission power of the SAR satellite is adjusted in real time based on the multiple power information.

2. The method according to claim 1, characterized in that The operation of determining, based on the ephemeris information of the SAR satellite, first position information corresponding to the SAR satellite and azimuth information corresponding to each piece of first position information when the SAR satellite transmits electromagnetic waves to the target area includes: determining, based on the ephemeris information of the SAR satellite, first position information and velocity information corresponding to the SAR satellite when the SAR satellite transmits electromagnetic waves toward the target area; Calculating the instantaneous motion direction of the SAR satellite based on the velocity information; and Based on the instantaneous motion direction of the SAR satellite, the azimuth information of the SAR satellite is calculated, and the azimuth information is used as the azimuth direction information of the SAR satellite.

3. The method according to claim 1, characterized in that The operation of determining, based on the plurality of first position information and the elevation map, a first slant distance between the SAR satellite and the target area in each azimuth information includes: Acquiring, from the elevation map, elevation values ​​corresponding to the actual terrain of the target area in each azimuth information, wherein the elevation values ​​include elevation position information and elevation height information of the terrain corresponding to the target area; Determining a plurality of second position information of the terrain corresponding to the target area based on the elevation position information, the elevation height information, and the proportional relationship of the terrain corresponding to the target area; and A first slant distance between the SAR satellite and a terrain corresponding to the target area in the corresponding azimuth information is determined based on the first position information and each piece of second position information.

4. The method according to claim 1, wherein The power determination model includes a convolutional neural network model, an LSTM model, and a fully connected layer, and further includes: pre-training the power determination model, wherein the operation of pre-training the power determination model includes: Acquiring SAR image samples corresponding to respective reference areas, wherein at respective azimuth information of the reference areas, the slant distance between the SAR satellite and the actual terrain of the reference areas is the same, and the slant distances between the SAR satellite and the respective reference areas are different; Determining a plurality of second slant distances corresponding to the azimuth information of each SAR image sample, and constructing a distance vector sample corresponding to each azimuth information based on the plurality of second slant distances; Acquiring power information samples when the SAR satellite transmits electromagnetic waves to each of the reference areas; and A plurality of distance vector samples corresponding to the respective reference areas are used as input samples, the power information samples are used as output samples, and the power determination model is trained using the input samples and the output samples.

5. A storage medium, characterized in that: The storage medium includes a stored program, wherein when the program is run, the processor executes the method according to any one of claims 1 to 4.

6. A power adjustment device for a SAR satellite based on slant range statistics, characterized in that: include: an elevation map acquisition module, configured to acquire an elevation map corresponding to a target area, wherein the elevation map is configured to display the surface morphology and elevation values ​​of the target area, and a proportional relationship between the elevation map and the actual terrain of the target area; A first information determination module is configured to determine, based on the ephemeris information of the SAR satellite, first position information corresponding to the SAR satellite and azimuth information corresponding to each piece of first position information when the SAR satellite transmits electromagnetic waves to the target area; A first slant distance determination module is configured to determine a first slant distance between the SAR satellite and the target area in each azimuth direction information based on the plurality of first position information and the elevation map; A first distance vector generating module, configured to generate a distance vector corresponding to each of the azimuth information based on a plurality of first slant distances corresponding to each of the azimuth information; as well as The power adjustment module is used to input multiple distance vectors into a pre-trained power determination model, use the power determination model to output power information corresponding to each distance vector, and adjust the transmission power of the SAR satellite in real time based on the multiple power information.

7. The device according to claim 6, characterized in that The first information determination module includes: a second information determining module, configured to determine, based on the ephemeris information of the SAR satellite, first position information and velocity information corresponding to the SAR satellite when the SAR satellite transmits electromagnetic waves to the target area; a motion direction calculation module, configured to calculate the instantaneous motion direction of the SAR satellite based on the velocity information; and The first information determination submodule is configured to calculate the azimuth information of the SAR satellite based on the instantaneous motion direction of the SAR satellite, and use the azimuth information as the azimuth direction information of the SAR satellite.

8. The device according to claim 6, characterized in that The first slant distance determination module includes: an elevation value determination module, configured to obtain, from the elevation map, elevation values ​​corresponding to the actual terrain of the target area at each azimuth information, wherein the elevation values ​​include elevation position information and elevation height information of the terrain corresponding to the target area; a third information determining module, configured to determine a plurality of second position information of the terrain corresponding to the target area based on the elevation position information, the elevation height information and the proportional relationship of the terrain corresponding to the target area; and The first slant distance determination submodule is configured to determine, based on the first position information and each piece of second position information, a first slant distance between the SAR satellite and a terrain corresponding to the target area in the corresponding azimuth information.

9. The device according to claim 6, characterized in that The power determination model includes a convolutional neural network model, an LSTM model, and a fully connected layer. The device further includes a model training module for pre-training the power determination model, wherein the model training module includes: a SAR image sample acquisition module, configured to acquire SAR image samples corresponding to respective reference areas, wherein in respective azimuth information of the reference areas, the slant distance between the SAR satellite and the reference areas is the same, and the slant distances between the SAR satellite and the respective reference areas are different; a distance vector sample construction module, configured to respectively determine a second slant distance corresponding to the azimuth information of each SAR image sample, and construct a distance vector sample corresponding to each azimuth information based on the plurality of second slant distances; a power information sample acquisition module, configured to acquire power information samples when the SAR satellite transmits electromagnetic waves to each reference area; and The model training submodule is used to take the distance vector samples corresponding to the respective reference areas as input samples, take the power information samples as output samples, and train the power determination model using the input samples and the output samples.

10. A power adjustment device for a SAR satellite based on slant range statistics, characterized in that: include: processor; as well as A memory, connected to the processor, configured to provide the processor with instructions for processing the following processing steps: Acquire an elevation map corresponding to a target area, wherein the elevation map is used to display the surface morphology and elevation values ​​of the target area and a proportional relationship between the elevation map and the actual terrain of the target area; determining, based on the ephemeris information of the SAR satellite, first position information corresponding to the SAR satellite and azimuth information corresponding to each piece of first position information when the SAR satellite transmits electromagnetic waves to the target area; Determining a first slant distance between the SAR satellite and the target area in each azimuth direction information based on the plurality of first position information and the elevation map; generating, based on a plurality of first slant distances respectively corresponding to the respective azimuth information, distance vectors respectively corresponding to the respective azimuth information; as well as Multiple distance vectors are respectively input into a pre-trained power determination model, the power determination model is used to output power information corresponding to each distance vector, and the transmission power of the SAR satellite is adjusted in real time based on the multiple power information.

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