Power adjustment method and device of SAR satellite based on slant range statistics and storage medium

Abstract

The application discloses a power adjustment method and device of a SAR satellite based on slant range statistics and a storage medium. The method comprises the following steps: acquiring an elevation map corresponding to a target area; determining, based on ephemeris information of the SAR satellite, first position information corresponding to the SAR satellite when the SAR satellite emits electromagnetic waves to the target area and azimuth information corresponding to each first position information; determining, according to the multiple first position information and the elevation map, first slant distances between the SAR satellite and the target area on each azimuth information; generating a distance vector corresponding to each azimuth information based on the multiple first slant distances corresponding to each azimuth information; inputting the multiple distance vectors into a power determination model, outputting power information corresponding to each distance vector by using the power determination model, and adjusting the emission power of the SAR satellite in real time based on the multiple power information. The method can prevent the SAR image from appearing a local overexposure phenomenon.

Description

Technical Field

[0001] This application relates to the field of satellite control technology, and in particular to a power adjustment method, device and storage medium for SAR satellites based on slant range statistics. Background Technology

[0002] SAR imagery is a high-resolution radar image acquired through active microwave remote sensing technology. Unlike optical sensors, SAR satellites do not rely on sunlight; instead, they image by emitting electromagnetic waves and receiving backscattered signals from the target area. Because SAR images are not based on optical imaging but rather on the emission of electromagnetic waves, SAR satellites can operate in all weather conditions and are not limited by lighting conditions. Furthermore, the microwave signals emitted by SAR satellites can penetrate clouds and dust, making them suitable for most areas.

[0003] The power and distance of the signal received by the SAR satellite 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 returned signal received by the SAR satellite increases sharply. Consequently, if the received signal exceeds the dynamic range of the SAR satellite receiver, it may cause overexposure in certain areas of the generated SAR image. This indicates the power of the signal received by the SAR satellite. R represents the transmit power of the SAR satellite, and R represents the slant distance between the SAR satellite and the target area. This represents the target backscattering coefficient.

[0004] In other words, with a fixed SAR satellite transmission power, if the SAR satellite is too close to certain areas of the target region, localized overexposure may occur in the SAR image. This prevents researchers from monitoring and studying the ground area based on the SAR image.

[0005] The invention, with publication number CN120185692A, is entitled "A Method for Adjusting Transmit Power in Satellite Communication." The invention first uses spectrum monitoring equipment on the satellite to scan the communication frequency band and adjacent frequency bands, constructing multiple background noise power sequences and extracting background noise features. Next, it constructs corresponding sequences based on the bit error rate (BER) and signal-to-noise ratio (SNR) of the satellite's transmitted signal, extracting BER and SNR features. Then, it obtains a demand coefficient based on the difference between the latest BER and SNR and the target value. Finally, it uses multiple sets of background noise features, BER features, SNR features, and demand coefficients as samples to train a fully connected BP neural network, obtaining the transmit power increment. This increment is added to the initial transmit power to determine the transmit power of the next signal.

[0006] The publication number is CN117879677A, and the title is "Method for Adjusting Transmit Power of Satellite Communication Terminal and Satellite Communication Terminal". The method includes: S1, acquiring satellite ephemeris data; S2, acquiring the reference transmit power of the terminal based on the satellite ephemeris data, and determining the satellite transit time period based on the satellite ephemeris data; S3, acquiring satellite broadcast data and satellite-to-ground link status parameters, determining different satellite transit stages based on the broadcast data, and adjusting the reference transmit power using the satellite-to-ground link status parameters during different satellite transit stages.

[0007] There is currently no effective solution to the technical problem in the existing technology that, when the transmission power of the SAR satellite is fixed, if the distance between the SAR satellite and some areas of the target area is relatively close, the generated SAR image may exhibit local overexposure. Summary of the Invention

[0008] The embodiments of this disclosure provide a power adjustment method, apparatus, and storage medium for SAR satellites based on slant range statistics, in order to at least solve the technical problem in the prior art that, when the transmission power of the SAR satellite is fixed, if the distance between the SAR satellite and some areas in the target area is relatively close, the generated SAR image may exhibit local overexposure.

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

[0010] According to another aspect of the present disclosure, a storage medium is also provided, the storage medium including a stored program, wherein, when the program is executed, a processor performs any of the methods described above.

[0011] According to another aspect of the present disclosure, a power adjustment device for a SAR satellite based on slant range statistics is also provided, comprising: 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, elevation values, and proportional relationship between the elevation map and the actual terrain of the target area; a first information determination module, configured to determine, based on the ephemeris information of the SAR satellite, a 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; a first slant range determination module, configured to determine, based on multiple first position information and the elevation map, a first slant range between the SAR satellite and the target area at each azimuth information; a first distance vector generation module, configured to generate distance vectors corresponding to each azimuth information based on multiple first slant ranges corresponding to each azimuth information; and a power adjustment module, configured to input multiple distance vectors into a pre-trained power determination model, output power information corresponding to each distance vector using the power determination model, and adjust the transmission power of the SAR satellite in real time based on multiple power information.

[0012] According to another aspect of the present disclosure, a power adjustment device for a SAR satellite based on slant range statistics is also provided, comprising: a processor; and a memory connected to the processor, configured to provide the processor with instructions for processing the following steps: acquiring an elevation map corresponding to a target area, wherein the elevation map is used to display the surface morphology, elevation values, and 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 of the first position information when the SAR satellite transmits electromagnetic waves to the target area; determining, based on the multiple first position information and the elevation map, first slant distances between the SAR satellite and the target area at each azimuth information; generating distance vectors corresponding to each azimuth information based on the multiple first slant distances corresponding to each azimuth information; and inputting the multiple distance vectors into a pre-trained power determination model, using the power determination model to output power information corresponding to each distance vector, and adjusting the transmission power of the SAR satellite in real time based on the multiple power information.

[0013] This application provides a power adjustment method for SAR satellites based on slant range statistics. First, the processor acquires an elevation map corresponding to the target area. Then, based on the SAR satellite's ephemeris information, the processor determines the first position information corresponding to the SAR satellite and the azimuth information corresponding to each of the first position information when the SAR satellite transmits electromagnetic waves towards the target area. Further, based on the multiple first position information and the elevation map, the processor determines the first slant range between the SAR satellite and the target area at each azimuth information. Then, based on the multiple first slant ranges corresponding to each azimuth information, the processor generates distance vectors corresponding to each azimuth information. Finally, the processor inputs the multiple distance vectors into a pre-trained power determination model, uses the power determination model to output power information corresponding to each distance vector, and adjusts the SAR satellite's transmission power in real time based on the multiple power information.

[0014] As described above, this application first uses the elevation map and ephemeris information corresponding to the target area to determine multiple first slant distances between the SAR satellite and the target area in various azimuth directions. That is, before the SAR satellite transmits electromagnetic waves to the target area, the processor determines the changes in the first slant distances between the SAR satellite and the target area in various azimuth directions.

[0015] Furthermore, given that the SAR satellite determines multiple first slant distances to the target area in various azimuth directions, the distance vectors corresponding to each azimuth direction are input into the power determination model to determine the power information corresponding to each azimuth direction. That is, it determines the power variation of the SAR satellite transmitting electromagnetic waves towards the target area in various azimuth directions when generating SAR images.

[0016] Therefore, the processor can determine the appropriate power information based on the changes in the first slant distance corresponding to each azimuth direction, and adjust the emission power of the SAR satellite's laser transmitter in real time according to the changes in the power information corresponding to each azimuth direction. In other words, because the power of the electromagnetic waves emitted by the SAR satellite is dynamically adjusted, even if the SAR satellite is close to some areas of the target region, the SAR satellite can avoid local overexposure in the generated SAR image by dynamically adjusting the emission power of the transmitter.

[0017] This solves the technical problem in existing technologies where, if the SAR satellite is close to a certain area of ​​the target region when the SAR satellite's transmission power is fixed, the generated SAR image may exhibit local overexposure. Attached Figure Description

[0018] The accompanying drawings, which are included to provide a further understanding of this disclosure and form part of this application, illustrate exemplary embodiments of the present disclosure and are used to explain the disclosure, but do not constitute an undue limitation thereof. In the drawings:

[0019] Figure 1 This is a schematic diagram of the communication connection system between a SAR satellite and a terminal device according to Embodiment 1 of this application;

[0020] Figure 2A This is a schematic diagram of the hardware architecture of the SAR satellite according to Embodiment 1 of this application;

[0021] Figure 2B This is a schematic diagram of the hardware architecture of the terminal device according to Embodiment 1 of this application;

[0022] Figure 3 This is a flowchart of the power adjustment method for SAR satellites based on slant range statistics according to Embodiment 1 of this application;

[0023] Figure 4 This is a structured schematic diagram of the power determination model according to Embodiment 1 of this application;

[0024] Figure 5 This is a schematic diagram of a power adjustment device for a SAR satellite based on slant range statistics according to Embodiment 2 of this application;

[0025] Figure 6 This is a schematic diagram of a power adjustment device for a SAR satellite based on slant range statistics as described in Embodiment 3 of this application. Detailed Implementation

[0026] To enable those skilled in the art to better understand the technical solutions of this disclosure, the technical solutions of the embodiments of this disclosure will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are merely some embodiments of this disclosure, and not all embodiments. Based on the embodiments of this disclosure, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of this disclosure.

[0027] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this disclosure are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this disclosure described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0028] Example 1

[0029] According to this embodiment, a method embodiment for power adjustment of SAR satellites based on slant range statistics is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Also, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0030] Figure 1 A schematic diagram of a communication connection system between a SAR satellite and a terminal device according to this embodiment is shown. The system includes a terminal device 10, a ground system 20, and a SAR satellite 30. The terminal device 10 sends a command to the SAR satellite 30 via the ground system 20 to generate a SAR image corresponding to a target area. The processor of the SAR satellite 30 acquires an elevation map corresponding to the target area and, based on pre-stored ephemeris information, determines first position information corresponding to the SAR satellite 30 and azimuth information corresponding to each first position information when the SAR satellite 30 transmits electromagnetic waves to the target area. The processor (referring to the processor of the SAR satellite 30 mentioned above, hereinafter the same) is also used to determine multiple first slant distances between the SAR satellite 30 and the target area at each azimuth information based on the multiple first position information and the elevation map. The processor is also used to input the distance vectors corresponding to each azimuth information into a power determination model and output power information corresponding to each distance vector. The distance vectors include multiple first slant distances corresponding to the azimuth information.

[0031] The processor is also used to adjust the emission power of the laser transmitter in SAR Satellite 30 in real time based on multiple power information.

[0032] Furthermore, when the SAR satellite 30 generates a SAR image corresponding to the target area, the SAR image is transmitted to the terminal device 10 via the ground system 20.

[0033] Figure 2A Further shown Figure 1 A schematic diagram of the hardware architecture of the ZhongSAR-30 satellite. (Reference) Figure 2A As shown, SAR satellite 30 includes an integrated electronic system, which comprises a processor, a memory, a bus management module, and a communication interface. The memory is connected to the processor, allowing the processor to 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 to the processor and also to a bus such as a CAN bus. Thus, the processor can communicate with onboard peripherals connected to the bus through the bus managed by the bus management module. Furthermore, the processor also communicates with devices such as cameras, star sensors, telemetry and command transponders, and data transmission equipment via the communication interface. Those skilled in the art will understand that… Figure 2A The structure shown is for illustrative purposes only and does not limit the structure of the aforementioned electronic device. For example, a satellite system may also include... Figure 2A The more or fewer components shown, or having the same Figure 2A The different configurations shown.

[0034] Figure 2B Further shown Figure 1 A schematic diagram of the hardware architecture of the middle terminal device 10. (Reference) Figure 2B As shown, the terminal device 10 may include one or more processors (processors may include, but are not limited to, microprocessors such as MCUs or programmable logic devices such as FPGAs), a memory for storing data, a transmission device for communication functions, and an input / output interface. The memory, transmission device, and input / output interface are connected to the processor via a bus. In addition, it may also include a display, keyboard, and cursor control device connected to the input / output interface. Those skilled in the art will understand that... Figure 2B The structure shown is for illustrative purposes only and does not limit the structure of the aforementioned electronic device. For example, the ground system may also include... Figure 2B The more or fewer components shown, or having the same Figure 2B The different configurations shown.

[0035] It should be noted that, Figure 2A and Figure 2BOne or more processors and / or other data processing circuits shown herein may generally be referred to as "data processing circuitry". This data processing circuitry may be embodied, in whole or in part, in software, hardware, firmware, or any other combination thereof. Furthermore, the data processing circuitry may be a single, independent processing module, or may be integrated, in whole or in part, into any other element in a computing device. As involved in embodiments of this disclosure, the data processing circuitry serves as processor control (e.g., selection of a variable resistor termination path connected to an interface).

[0036] Figure 2A and Figure 2B The memory shown can be used to store software programs and modules for application software, such as the program instruction / data storage device corresponding to the power adjustment method for SAR satellites based on slant range statistics in this embodiment of the present disclosure. The processor executes various functional applications and data processing by running the software programs and modules stored in the memory, thereby implementing the power adjustment method for SAR satellites based on slant range statistics described above. The memory may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory.

[0037] It should be noted here that, in some optional embodiments, the above... Figure 2A and Figure 2B The device shown may include hardware elements (including circuitry), 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 This is only one instance of a specific particular instance, and is intended to illustrate the types of components that may exist in the aforementioned devices.

[0038] Under the aforementioned operating environment, according to the first aspect of this embodiment, a power adjustment method for SAR satellites based on slant range statistics is provided. This method comprises... Figure 1 The processor implementation of SAR satellite 30 shown. Figure 3 A flowchart illustrating the method is shown below. (Refer to...) Figure 3 As shown, the method includes:

[0039] S302: Obtain an elevation map corresponding to the target area, wherein the elevation map is used to display the landform, elevation values, and scale relationship between the elevation map and the actual terrain of the target area;

[0040] S304: Based on the ephemeris information of the SAR satellite, determine the first position information corresponding to the SAR satellite and the azimuth information corresponding to each first position information when the SAR satellite transmits electromagnetic waves to the target area;

[0041] S306: Based on multiple first position information and elevation maps, determine the first slant distance between the SAR satellite and the target area in each azimuth direction;

[0042] S308: Based on multiple first slant distances corresponding to each azimuth information, generate distance vectors corresponding to each azimuth information; and

[0043] S310: Input multiple range vectors into a pre-trained power determination model, use the power determination model to output power information corresponding to each range vector, and adjust the SAR satellite's transmit power in real time based on multiple power information.

[0044] Specifically, firstly, the operator uses terminal device 10 and ground system 20 to send a command to SAR satellite 30 to generate a SAR image corresponding to the target area. The processor of SAR satellite 30 receives and responds to this command, acquiring an elevation map corresponding to the target area (S302). The elevation map is used to represent the surface morphology of the target area. Furthermore, when there are terrain objects such as buildings within the target area, the elevation map can use contour lines or a three-dimensional model to display the elevation variations of these objects.

[0045] In addition, the elevation map corresponding to the target area includes the specific elevation values ​​corresponding to the contour lines, as well as a scale representation 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 a storage module, allowing the processor to retrieve the corresponding elevation map from the storage module.

[0046] Then, based on the ephemeris information of the SAR satellite, the processor determines the first position information corresponding to the SAR satellite and the azimuth information corresponding to each of the first position information when the SAR satellite transmits electromagnetic waves towards the target area (S304). The ephemeris information corresponding to the SAR satellite 30 can be pre-stored in a storage module, allowing the processor to retrieve the ephemeris information from the storage module. The ephemeris information records the SAR satellite 30's position information in its orbit (e.g., longitude, latitude, and altitude) and velocity vector information (including the SAR satellite 30's direction of motion and velocity magnitude).

[0047] Therefore, when the processor calls upon the ephemeris information corresponding to SAR satellite 30, it determines the first position and velocity information of SAR satellite 30 when it transmits electromagnetic waves towards the target area, based on the ephemeris information. Then, the processor calculates the instantaneous motion direction of SAR satellite 30 based on the velocity information. Finally, the processor calculates the azimuth information of SAR satellite 30 based on its instantaneous motion direction and uses this azimuth information as the azimuth orientation information of SAR satellite 30. The above will be described in detail later, and therefore will not be repeated here.

[0048] Furthermore, the processor determines the first slant distance between the SAR satellite and the target area in each azimuth direction based on multiple first location information and the elevation map (S306). Since the coordinate system of the elevation map (e.g., a geographic coordinate system) differs from the coordinate system of the SAR satellite 30 (e.g., a geocentric coordinate system), it is necessary to convert the location and altitude information corresponding to the elevation map in the geographic coordinate system into multiple second location information points corresponding to the terrain of the target area in the geocentric coordinate system.

[0049] First, the processor obtains the elevation values ​​corresponding to the actual terrain of the target area in each azimuth direction from the elevation map. These elevation values ​​include the elevation location information and elevation height information of the terrain corresponding to the target area. Then, based on the elevation location information, elevation height information, and scale relationship of the terrain corresponding to the target area, the processor determines multiple second location information points for that terrain location. Finally, based on the first location information and each of the second location information points, the processor determines the first slant distance between the SAR satellite 30 and the terrain corresponding to the target area in the corresponding azimuth direction. The above will be described in detail later, and therefore will not be repeated here.

[0050] For example, based on the ephemeris information of SAR satellite 30, the processor determines the first position information corresponding to SAR satellite 30 when SAR satellite 30 transmits electromagnetic waves toward the target area. ~ Among them, the first location information , P represents the longitude information corresponding to SAR satellite 30. This indicates the latitude information corresponding to SAR satellite 30. This represents the altitude information corresponding to SAR satellite 30. Where i = 1 to n.

[0051] At the same time, the processor determines the information of each first position. ~ Corresponding azimuth information ~ .

[0052] The processor then uses multiple first position information ~ Using elevation maps, multiple first slant distances between SAR satellite 30 and the target area were determined in various azimuth directions. Among these, the azimuth information... There are multiple corresponding first slope distances ~ ; and directional information There are multiple corresponding first slope distances ~ And so on; along with directional information There are multiple corresponding first slope distances ~ .

[0053] The processor then generates distance vectors corresponding to each azimuth information based on multiple first slant distances corresponding to each azimuth information (S308). For example, the processor has already determined the azimuth information. There are multiple corresponding first slope distances ~ ; and directional information There are multiple corresponding first slope distances ~ And so on; along with directional information There are multiple corresponding first slope distances ~ Then the orientation information can be determined. corresponding distance vector , and directional information corresponding distance vector ... and azimuth information corresponding distance vector .

[0054] Finally, the processor inputs multiple distance vectors into a pre-trained power determination model, uses the power determination model to output power information corresponding to each distance vector, and adjusts the transmit power of SAR satellite 30 in real time based on multiple power information (S310). The power determination model includes a convolutional neural network model, an LSTM model, and a fully connected layer.

[0055] Furthermore, when the processor inputs each range vector into the power determination model, the power information output by the power determination model corresponds to the magnitude of the first slant distance because the magnitudes of the first slant distances contained in each range vector are different. Therefore, when the SAR satellite 30 moves to the corresponding azimuth direction, it can control the laser emitter to emit electromagnetic waves corresponding to the determined power information.

[0056] As described in the background section, the power and distance of the signal received by a SAR satellite follow the radar equations: 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 returned signal received by the SAR satellite increases sharply. Consequently, if the received signal exceeds the dynamic range of the SAR satellite receiver, it may cause overexposure in certain areas of the generated SAR image. This indicates the power of the signal received by the SAR satellite. R represents the transmit power of the SAR satellite, and R represents the slant range between the SAR satellite and the target area. This represents the target backscattering coefficient.

[0057] In other words, with a fixed SAR satellite transmission power, if the SAR satellite is too close to certain areas of the target region, localized overexposure may occur in the SAR image. This prevents researchers from monitoring and studying the ground area based on the SAR image.

[0058] In view of this, this application first uses the elevation map and ephemeris information corresponding to the target area to determine multiple first slant distances between the SAR satellite and the target area in various azimuth directions. That is, before the SAR satellite transmits electromagnetic waves to the target area, the processor determines the changes in the first slant distances between the SAR satellite and the target area in various azimuth directions.

[0059] Furthermore, given that the SAR satellite determines multiple first slant distances to the target area in various azimuth directions, the distance vectors corresponding to each azimuth direction are input into the power determination model to determine the power information corresponding to each azimuth direction. That is, it determines the power variation of the SAR satellite transmitting electromagnetic waves towards the target area in various azimuth directions when generating SAR images.

[0060] Therefore, the processor can determine the appropriate power information based on the changes in the first slant distance corresponding to each azimuth direction, and adjust the emission power of the SAR satellite's laser transmitter in real time according to the changes in the power information corresponding to each azimuth direction. In other words, because the power of the electromagnetic waves emitted by the SAR satellite is dynamically adjusted, even if the SAR satellite is close to some areas of the target region, the SAR satellite can avoid local overexposure in the generated SAR image by dynamically adjusting the emission power of the transmitter.

[0061] This solves the technical problem in existing technologies where, if the SAR satellite is close to a certain area of ​​the target region when the SAR satellite's transmission power is fixed, the generated SAR image may exhibit local overexposure.

[0062] Optionally, the operation of determining the first position information corresponding to the SAR satellite and the azimuth information corresponding to each first position information based on the ephemeris information of the SAR satellite when the SAR satellite transmits electromagnetic waves to the target area includes: determining the first position information and velocity information corresponding to the SAR satellite when the SAR satellite transmits electromagnetic waves to the target area based on the ephemeris information of the SAR satellite; calculating the instantaneous motion direction of the SAR satellite based on the velocity information; and calculating the azimuth information of the SAR satellite based on the instantaneous motion direction of the SAR satellite, and using the azimuth information as the azimuth information of the SAR satellite.

[0063] Specifically, since the ephemeris information of SAR satellite 30 includes position vector information and velocity vector information, the first position information corresponding to SAR satellite 30 when it moves to the target area can be determined. ~ and speed information ~ .

[0064] Then, based on the velocity information, the processor calculates and normalizes the instantaneous motion direction of SAR satellite 30:

[0065]

[0066] in, The instantaneous motion direction of SAR satellite 30 in each azimuth direction is represented by i=1~n.

[0067] Furthermore, the processor calculates the basis vectors of the station-centered coordinate system. (Eastward) (Northbound) and (Heavenly direction). The instantaneous direction of motion is then projected onto the stationary coordinate system, and the calculation formula is as follows:

[0068]

[0069]

[0070]

[0071] in, This represents the eastward coordinate of the instantaneous direction of motion in the station-centered coordinate system. This represents the north coordinate of the instantaneous direction of motion in the station-centered coordinate system. This represents the celestial coordinate of the instantaneous direction of motion in the station-centered coordinate system.

[0072] Finally, the processor calculates the azimuth information of SAR satellite 30. The calculation formula is as follows:

[0073]

[0074] in, This represents the azimuth information corresponding to each of the first position information.

[0075] Thus, when the processor determines the azimuth information corresponding to each first position information, the azimuth information is used as the azimuth direction information corresponding to the SAR satellite 30.

[0076] Optionally, the operation of determining the first slant distance between the SAR satellite and the target area in each azimuth direction based on multiple first location information and the elevation map includes: obtaining the elevation values ​​corresponding to the actual terrain of the target area in each azimuth direction from the elevation map, wherein the elevation values ​​include the elevation location information and elevation height information of the terrain corresponding to the target area; determining multiple second location information of the terrain corresponding to the target area based on the elevation location information, elevation height information, and proportional relationship of the terrain corresponding to the target area; and determining the first slant distance between the SAR satellite and the terrain corresponding to the target area in the corresponding azimuth direction based on the first location information and each of the second location information.

[0077] Specifically, first, the processor obtains azimuth information from the elevation map. ~ Above, the elevation value corresponding to the actual terrain of the target area. For example, the elevation value corresponding to the azimuth information. Corresponding elevation value ~ , and directional information Corresponding elevation value ~ ... and azimuth information Corresponding elevation value ~ .

[0078] The elevation values ​​include both the elevation location information and the elevation height information of the terrain corresponding to the target area. For example, the first location information... , W represents the longitude information corresponding to the actual terrain of the target area. This indicates the latitude information corresponding to the actual terrain of the target area. This represents the height information corresponding to the actual terrain of the target area. Where i = 1~n, j = 1~m.

[0079] Then, based on the proportional relationship between the elevation map and the actual terrain of the target area, and using the elevation location information and elevation height information of the corresponding terrain location in the target area, the processor calculates multiple second location information points for the corresponding terrain location in the target area. The calculation formula is as follows:

[0080]

[0081] in, This represents the second location information corresponding to the terrain of the target area, i=1~n, j=1~m.

[0082] And among them, the second location information , P represents the longitude information corresponding to the second location information. This indicates the latitude information corresponding to the second location information. This indicates the height information corresponding to the second position information.

[0083] Finally, based on the first position information and each of the second position information, the processor determines the first slant distance between the SAR satellite 30 and the corresponding terrain of the target area in the corresponding azimuth direction. For example, the processor can determine the first slant distance based on the first position information. and second location information Determine the orientation information Corresponding multiple first slope distances The calculation formula is as follows:

[0084]

[0085] in, Indicates orientation information The corresponding multiple first slant distances, j=1~m.

[0086] Similarly, the orientation information can be determined using the same method as described above. The corresponding first slope distance , and directional information The corresponding first slope distance ... and azimuth information The corresponding first slope distance .

[0087] Optionally, 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 pre-training operation includes: acquiring SAR image samples corresponding to each reference region, wherein the slant distance between the SAR satellite and the reference region is the same in each azimuth information of the reference region, and the slant distance between the SAR satellite and each reference region is different; determining the second slant distance corresponding to the azimuth information of each SAR image sample, and constructing a range vector sample corresponding to each azimuth information based on the second slant distance; acquiring power information samples when the SAR satellite transmits electromagnetic waves to each reference region; and using the range vector samples corresponding to each reference region as input samples, the power information samples as output samples, and training the power determination model using the input samples and output samples.

[0088] Specifically, when the processor uses the power determination model to calculate the power information corresponding to each azimuth information, the power determination model needs to be trained in advance. Figure 4 This is a schematic diagram of the power determination model according to an embodiment of this application. (Reference) Figure 4 As shown, the power determination model includes a convolutional neural network model, an LSTM model, and a fully connected layer.

[0089] First, the processor retrieves SAR image samples corresponding to each reference region from the storage module of SAR satellite 30. ~ Since the purpose of this application is to dynamically adjust the power information corresponding to different slant distances, the slant distance between SAR satellite 30 and the actual terrain of the reference area is the same for each azimuth direction. Furthermore, to satisfy sample diversity, the slant distance between SAR satellite 30 and each reference area is different.

[0090] Then, the processor bases its data on each SAR image sample. ~ Each SAR image sample was identified separately. ~ The SAR image samples show multiple second slant ranges corresponding to each azimuth information. For example, SAR image samples... The azimuth information includes ~ Directional information There are multiple second slant distances. ~ ; directional information There are multiple second slant distances. ~ ;...; directional information There are multiple second slant distances. ~ .

[0091] For example, SAR image samples The azimuth information includes ~ Directional information There are multiple second slant distances. ~ ; directional information There are multiple second slant distances. ~ ;...; directional information There are multiple second slant distances. ~ .

[0092] And so on.

[0093] For example, SAR image samples The azimuth information includes ~ Directional information There are multiple second slant distances. ~ ; directional information There are multiple second slant distances. ~ ;...; directional information There are multiple second slant distances. ~ .

[0094] Furthermore, the processor constructs multiple range vector samples corresponding to multiple azimuth information in each SAR image sample, based on multiple second slant ranges corresponding to each azimuth information in each SAR image sample. For example, the processor determines the range vector samples corresponding to multiple azimuth information in each SAR image sample. Information on each direction ~ Corresponding distance vector samples ~ With azimuth information Corresponding distance vector samples , and directional information Corresponding distance vector samples ... and azimuth information Corresponding distance vector samples .

[0095] For example, the processor determines the SAR image sample. Information on each direction ~ Corresponding distance vector samples ~ .

[0096] And so on.

[0097] For example, the processor can determine the relationship between SAR image samples and... Information on each direction ~ Corresponding distance vector samples ~ .

[0098] The processor then acquires power information samples of the SAR satellite 30 transmitting electromagnetic waves to various reference areas. For example, the processor acquires power information samples of the SAR satellite 30 transmitting electromagnetic waves to various reference areas. ~ .

[0099] Finally, the processor takes multiple distance vector samples corresponding to each reference region as input samples and power information samples corresponding to each reference region as output samples, and uses the input and output samples to train the power determination model.

[0100] Thus, according to the first aspect of this embodiment, the technical effect of being able to dynamically adjust the transmission power of the SAR satellite according to the change in slant range is achieved, thereby preventing the SAR images generated by the SAR satellite from exhibiting local overexposure.

[0101] In addition, refer to Figure 1 As shown, according to a second aspect of this embodiment, a storage medium is provided. The storage medium includes a stored program, wherein, when the program is executed, a processor performs any of the methods described above.

[0102] Thus, according to this embodiment, the technical effect of dynamically adjusting the transmission power of the SAR satellite according to the change of slant range is achieved, thereby preventing the SAR images generated by the SAR satellite from having local overexposure.

[0103] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that the present invention is not limited to the described order of actions, because according to the present invention, some steps can be performed in other orders or simultaneously. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions and modules involved are not necessarily essential to the present invention.

[0104] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods according to the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal device (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods described in the various embodiments of the present invention.

[0105] Example 2

[0106] Figure 5 A power adjustment device 500 for a SAR satellite based on slant range statistics according to this embodiment is shown, which corresponds to the method described according to the first aspect of Embodiment 1. (See reference...) Figure 5 As shown, the device 500 includes: an elevation map acquisition module 510, used to acquire an elevation map corresponding to a target area, wherein the elevation map is used to display the surface morphology, elevation values, and proportional relationship between the elevation map and the actual terrain of the target area; a first information determination module 520, used to determine, based on the ephemeris information of the SAR satellite, the first position information corresponding to the SAR satellite and the azimuth information corresponding to each first position information when the SAR satellite transmits electromagnetic waves to the target area; a first slant range determination module 530, used to determine, based on multiple first position information and the elevation map, the first slant distance between the SAR satellite and the target area at each azimuth information; a first distance vector generation module 540, used to generate distance vectors corresponding to each azimuth information based on multiple first slant distances corresponding to each azimuth information; and a power adjustment module 550, 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 multiple power information.

[0107] Optionally, the first information determination module 520 includes: a second information determination module, used to determine, based on the ephemeris information of the SAR satellite, the first position information and velocity information corresponding to the SAR satellite when the SAR satellite transmits electromagnetic waves toward the target area; a motion direction calculation module, used to calculate the instantaneous motion direction of the SAR satellite based on the velocity information; and a first information determination submodule, used 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.

[0108] Optionally, the first slant distance determination module 530 includes: an elevation value determination module, used to obtain elevation values ​​corresponding to the actual terrain of the target area in each azimuth information from an elevation map, wherein the elevation values ​​include elevation location information and elevation height information of the terrain corresponding to the target area; a third information determination module, used to determine multiple second location information of the terrain corresponding to the target area based on the elevation location information, elevation height information, and proportional relationship of the terrain corresponding to the target area; and a first slant distance determination submodule, used to determine the first slant distance between the SAR satellite and the terrain corresponding to the target area in the corresponding azimuth information according to the first location information and each second location information.

[0109] Optionally, the power determination model includes a convolutional neural network model, an LSTM model, and a fully connected layer. The device 500 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 for acquiring SAR image samples corresponding to each reference region, wherein the slant distance between the SAR satellite and the reference region is the same in each azimuth information of the reference region, and the slant distance between the SAR satellite and each reference region is different; a range vector sample construction module for determining multiple second slant distances corresponding to the azimuth information of each SAR image sample, and constructing range vector samples corresponding to each azimuth information based on the multiple second slant distances; a power information sample acquisition module for acquiring power information samples when the SAR satellite transmits electromagnetic waves to each reference region; and a model training submodule for using the range vector samples corresponding to each reference region as input samples, the power information samples as output samples, and training the power determination model using the input samples and output samples.

[0110] Thus, according to this embodiment, the technical effect of dynamically adjusting the transmission power of the SAR satellite according to the change of slant range is achieved, thereby preventing the SAR images generated by the SAR satellite from having local overexposure.

[0111] Example 3

[0112] Figure 6A power adjustment device 600 for a SAR satellite based on slant range statistics according to this embodiment is shown, which corresponds to the method described according to Embodiment 1. Reference Figure 6 As shown, the device 600 includes: a processor 610; and a memory 620 connected to the processor 610, used to provide the processor 610 with instructions to process the following steps: acquiring an elevation map corresponding to a target area, wherein the elevation map is used to display the surface morphology, elevation values, and proportional relationship between the elevation map and the actual terrain of the target area; determining, based on the ephemeris information of the SAR satellite, the first position information corresponding to the SAR satellite and the azimuth information corresponding to each of the first position information when the SAR satellite transmits electromagnetic waves to the target area; determining, based on the multiple first position information and the elevation map, the first slant distance between the SAR satellite and the target area at each azimuth information; generating a distance vector corresponding to each azimuth information based on the multiple first slant distances corresponding to each azimuth information; and inputting the multiple distance vectors into a pre-trained power determination model, using the power determination model to output power information corresponding to each distance vector, and adjusting the transmission power of the SAR satellite in real time based on the multiple power information.

[0113] Optionally, the operation of determining the first position information corresponding to the SAR satellite and the azimuth information corresponding to each first position information based on the ephemeris information of the SAR satellite when the SAR satellite transmits electromagnetic waves to the target area includes: determining the first position information and velocity information corresponding to the SAR satellite when the SAR satellite transmits electromagnetic waves to the target area based on the ephemeris information of the SAR satellite; calculating the instantaneous motion direction of the SAR satellite based on the velocity information; and calculating the azimuth information of the SAR satellite based on the instantaneous motion direction of the SAR satellite, and using the azimuth information as the azimuth information of the SAR satellite.

[0114] Optionally, the operation of determining the first slant distance between the SAR satellite and the target area in each azimuth direction based on multiple first location information and the elevation map includes: obtaining the elevation values ​​corresponding to the actual terrain of the target area in each azimuth direction from the elevation map, wherein the elevation values ​​include the elevation location information and elevation height information of the terrain corresponding to the target area; determining multiple second location information of the terrain corresponding to the target area based on the elevation location information, elevation height information, and proportional relationship of the terrain corresponding to the target area; and determining the first slant distance between the SAR satellite and the terrain corresponding to the target area in the corresponding azimuth direction based on the first location information and each of the second location information.

[0115] Optionally, 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 pre-training operation includes: acquiring SAR image samples corresponding to each reference region, wherein the slant distance between the SAR satellite and the reference region is the same in each azimuth information of the reference region, and the slant distance between the SAR satellite and each reference region is different; determining multiple second slant distances corresponding to the azimuth information of each SAR image sample, and constructing range vector samples corresponding to each azimuth information based on the multiple second slant distances; acquiring power information samples when the SAR satellite transmits electromagnetic waves to each reference region; and using the range vector samples corresponding to each reference region as input samples, the power information samples as output samples, and training the power determination model using the input samples and output samples.

[0116] Thus, according to this embodiment, the technical effect of dynamically adjusting the transmission power of the SAR satellite according to the change of slant range is achieved, thereby preventing the SAR images generated by the SAR satellite from having local overexposure.

[0117] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0118] In the above embodiments of the present invention, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0119] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual coupling, direct coupling, or communication connection may be through some interfaces; the indirect coupling or communication connection between units or modules may be electrical or other forms.

[0120] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0121] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0122] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0123] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A method for power regulation of a SAR satellite based on slant range statistics, applied to a SAR satellite, characterized in that, The method comprises: obtaining an elevation map corresponding to a target area, wherein the elevation map is used to display the surface shape, elevation value of the target area, and the proportional relationship between the elevation map and the actual terrain of the target area; based on the ephemeris information of the SAR satellite, 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; determining, according to the plurality of first position information and the elevation map, a plurality of first slant ranges between the SAR satellite and the target area on each azimuth direction information; based on the plurality of first slant ranges corresponding to the plurality of azimuth direction information respectively, generating a plurality of distance vectors corresponding to the plurality of azimuth direction information respectively; and inputting the plurality of distance vectors into a pre-trained power determination model, outputting the 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, wherein the power determination model comprises a convolutional neural network model, an LSTM model and a fully connected layer, and further comprises: pre-training the power determination model, wherein the operation of pre-training the power determination model comprises: obtaining a SAR image sample corresponding to each reference area, wherein the slant range between the SAR satellite and the actual terrain of the reference area is the same on each azimuth direction information of the reference area, and the slant range between the SAR satellite and each reference area is different; determining a plurality of second slant ranges 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 second slant range; obtaining a power information sample when the SAR satellite emits electromagnetic waves to the plurality of reference areas; and using the plurality of distance vector samples corresponding to the plurality of reference areas as input features, using the power information sample as output features, and training the power determination model by using the input features and the output features.

2. The method of claim 1, wherein, 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 based on the instantaneous motion direction of the SAR satellite, calculating the azimuth angle information of the SAR satellite, and taking the azimuth angle information as the azimuth direction information of the SAR satellite.

3. The method of claim 1, wherein, The operation of determining the first slant range between the SAR satellite and the target area on each azimuth direction information according to the plurality of first position information and the elevation map comprises: The elevation values ​​corresponding to the actual terrain of the target area are obtained from the elevation map in each azimuth direction, wherein the elevation values ​​include the elevation location information and elevation height information of the terrain corresponding to the target area; Based on the elevation location information, elevation height information, and proportional relationship of the terrain corresponding to the target area, multiple second location information points of the terrain corresponding to the target area are determined; and Based on the first location information and each of the second location information, the first slant distance between the SAR satellite and the terrain corresponding to the target area is determined in the corresponding azimuth information.

4. A storage medium, characterized by The storage medium includes a stored program, wherein, when the program is executed, the method described in any one of claims 1 to 3 is performed by a processor.

5. A power regulation device for a SAR satellite based on slant range statistics, characterized by, include: The elevation map acquisition module is used to acquire an elevation map corresponding to the target area, wherein the elevation map is used to display the landform, elevation value, and scale relationship between the elevation map and the actual terrain of the target area. The first information determination module is used to determine, based on the ephemeris information of the SAR satellite, the first position information corresponding to the SAR satellite and the azimuth information corresponding to each first position information when the SAR satellite transmits electromagnetic waves to the target area. The first slant distance determination module is used to determine the first slant distance between the SAR satellite and the target area in each azimuth direction based on multiple first location information and the elevation map; The first distance vector generation module is used to generate distance vectors corresponding to each azimuth information based on multiple first slant distances corresponding to each azimuth information. as well as A 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 multiple power information. 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: The SAR image sample acquisition module is used to acquire SAR image samples corresponding to each reference area, wherein the slant distance between the SAR satellite and the reference area is the same in each azimuth information of the reference area, and the slant distance between the SAR satellite and each reference area is different. The distance vector sample construction module is used to determine the second slant distance corresponding to the azimuth information of each SAR image sample, and construct the distance vector sample corresponding to each azimuth information based on the second slant distance. A power information sample acquisition module is used 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 each reference region as input features, the power information samples as output features, and train the power determination model using the input features and the output features.

6. The apparatus of claim 5, wherein, The first information determination module includes: The second information determination module is used to determine, based on the ephemeris information of the SAR satellite, the first position information and velocity information corresponding to the SAR satellite when the SAR satellite transmits electromagnetic waves toward the target area; A motion direction calculation module is used to calculate the instantaneous motion direction of the SAR satellite based on the velocity information; and The first information determination submodule is used 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.

7. The apparatus of claim 6, wherein, The first slant distance determination module includes: The elevation value determination module is used to obtain the elevation values ​​corresponding to the actual terrain of the target area from the elevation map in each azimuth information, wherein the elevation values ​​include the elevation location information and elevation height information of the terrain corresponding to the target area; The third information determination module is used to determine multiple second location information points at the terrain corresponding to the target area based on the elevation location information, elevation height information, and the proportional relationship at the terrain location corresponding to the target area; and The first slant distance determination submodule is used to determine, based on the first location information and each of the second location information, the first slant distance between the SAR satellite and the terrain corresponding to the target area in the corresponding azimuth information.

8. A power regulation device for a SAR satellite based on slant range statistics, characterized by, include: processor; as well as A memory, connected to the processor, for providing the processor with instructions to perform the following processing steps: Obtain an elevation map corresponding to the target area, wherein the elevation map is used to display the landform, elevation value, and scale relationship between the elevation map and the actual terrain of the target area; Based on the ephemeris information of the SAR satellite, determine the first position information corresponding to the SAR satellite and the azimuth information corresponding to each first position information when the SAR satellite transmits electromagnetic waves to the target area; Based on multiple first location information and the elevation map, determine the first slant distance between the SAR satellite and the target area in each azimuth direction; Based on multiple first slant distances corresponding to each of the azimuth information, a distance vector corresponding to each of the azimuth information is generated. as well as Multiple distance vectors are input into a pre-trained power determination model. The power determination model outputs 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. The power determination model includes a convolutional neural network model, an LSTM model, and a fully connected layer. The model also includes pre-training the power determination model, wherein the pre-training operation includes: Acquire SAR image samples corresponding to each reference area, wherein the slant distance between the SAR satellite and the actual terrain of the reference area is the same in each azimuth information of the reference area, and the slant distance between the SAR satellite and each reference area is different; Multiple second slant ranges corresponding to the azimuth information of each SAR image sample are determined respectively, and a distance vector sample corresponding to each azimuth information is constructed based on the second slant ranges. Obtain power information samples of the SAR satellite transmitting electromagnetic waves to each reference area; and The power determination model is trained by using multiple distance vector samples corresponding to each reference region as input features and the power information samples as output features.

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