Interference suppression method, device, equipment and medium for multi-polarization channel SAR system

Abstract

The present application discloses an interference suppression method, device, equipment and medium for a multi-polarization channel SAR system, the method comprising: obtaining a SAR data matrix, the SAR data matrix comprising at least two polarization channel data interfered with at the same time and in the same scene; determining first polarization channel data and second polarization channel data from at least two polarization channel data according to the interference energy value corresponding to the polarization channel data, the interference energy value of the second polarization channel data being greater than the interference energy value of the first polarization channel data; obtaining interference data from the second polarization channel data, and using the interference data to interfere with the first polarization channel data to obtain the first polarization channel data after interference; using a preset low-rank algorithm to suppress interference on the first polarization channel data after interference, and performing interference elimination according to the interference data to obtain the first polarization channel data after interference suppression. The method provided by the present application can improve the interference suppression effect.

Description

Technical Field

[0001] The present application relates to the field of signal processing technology, and in particular to an interference suppression method, device, equipment and medium for a multi-polarization channel SAR system. Background Art

[0002] Synthetic aperture radar (SAR) is a unique microwave imaging sensor. Due to its unique imaging principle, it is used to observe target scenes in various weather and lighting conditions and generate high-resolution images. Among them, the multi-polarization channel SAR system is equipped with an antenna with multi-polarization capability and can provide multi-polarization channel SAR data. It has been widely used. However, due to the rapid growth of radio equipment and services, the multi-polarization channel SAR is interfered by other signals in the same frequency band during the imaging process.

[0003] Currently, traditional methods for removing interference from single polarization channel SAR data include non-parametric methods, parametric methods and semi-parametric methods.

[0004] Among them, non-parametric methods are widely used in SAR interference suppression due to their low computational complexity and versatility, especially when dealing with various interference scenarios. Non-parametric methods use a single prior information to mitigate interference based on the core difference between the interference and echo signals. However, the effectiveness of non-parametric methods decreases when a single prior information is insufficient or when there are multiple types of interference that cause confusion in the prior information.

[0005] Parametric methods are effective in interference mitigation in scenarios with a single type of interference. Parametric methods can accurately reconstruct and suppress interference signals by estimating the parameters of the interference model. However, parametric methods may fail when the interference in the scenario is uncertain or involves multiple types of interference.

[0006] Semi-parametric methods can solve some of the shortcomings of non-parametric and parametric methods. Specifically, they transform prior information into optimization constraints and iteratively solve the echo signal to ultimately achieve interference suppression. However, the performance of semi-parametric methods is limited by prior information and the model used, and their effectiveness in suppressing interference may be reduced in the presence of various interferences.

[0007] In summary, there is an urgent need for an interference suppression method that is effective against various interferences and is not restricted by prior information and models. Summary of the invention

[0008] The present application provides an interference suppression method, device, equipment and medium for a multi-polarization channel SAR system, aiming to effectively solve the above technical problems.

[0009] According to a first aspect of the present application, the present application provides an interference suppression method for a multi-polarization channel SAR system, comprising:

[0010] Acquire a SAR data matrix, where the SAR data matrix includes at least two polarization channel data interfered with at the same time and in the same scene;

[0011] determining first polarization channel data and second polarization channel data from the at least two polarization channel data according to the interference energy value corresponding to the polarization channel data, wherein the interference energy value of the second polarization channel data is greater than the interference energy value of the first polarization channel data;

[0012] Acquire interference data from the second polarization channel data, and use the interference data to interfere with the first polarization channel data to obtain interfered first polarization channel data;

[0013] A preset low-rank algorithm is used to perform interference suppression on the interfered first polarization channel data, and interference removal is performed according to the interference data to obtain the interference suppressed first polarization channel data.

[0014] Further, the using the interference data to interfere with the first polarization channel data includes:

[0015] Adjusting the interference position in the interference data so that the adjusted interference position does not overlap with the initial interference position, thereby obtaining adjusted interference data;

[0016] The adjusted interference data is added to the first polarization channel data to obtain the interfered first polarization channel data.

[0017] Further, the determining the first polarization channel data and the second polarization channel data from the at least two polarization channel data according to the interference energy value corresponding to the polarization channel data includes:

[0018] Obtaining an interference energy value of each polarization channel data by calculation according to the interference intensity and scene intensity of the polarization channel data;

[0019] A first polarization channel data and at least one second polarization channel data are determined according to the interference energy value.

[0020] Furthermore, the low-rank algorithm includes at least one of a principal component analysis method, a robust principal component analysis method, and a complex tensor robust principal component analysis method.

[0021] Further, the performing interference elimination according to the interference data includes:

[0022] The interference in the suppressed first polarization channel data is eliminated according to the adjusted interference position in the adjusted interference data to obtain final suppressed first polarization channel data.

[0023] Further, the acquiring interference data from the second polarization channel data includes:

[0024] intercepting a matrix of an interference area in the second polarization channel data as interference data;

[0025] And / or, obtaining interference data from the second polarization channel data using one of a principal component analysis method, a robust principal component analysis method, and a complex tensor robust principal component analysis method.

[0026] Further, the SAR data matrix includes at least two of vertical polarization transmission and vertical polarization reception data, vertical polarization transmission and horizontal polarization reception data, horizontal polarization transmission and vertical polarization reception data, and horizontal polarization transmission and horizontal polarization reception data.

[0027] In a second aspect of the present application, there is also provided an interference suppression device for a multi-polarization channel SAR system, the device comprising:

[0028] A data acquisition module, used to acquire a SAR data matrix, wherein the SAR data matrix includes at least two polarization channel data interfered at the same time and in the same scene;

[0029] a suppression object determining module, configured to determine first polarization channel data and second polarization channel data from the at least two polarization channel data according to interference energy values ​​corresponding to the polarization channel data, wherein the interference energy value of the second polarization channel data is greater than the interference energy value of the first polarization channel data;

[0030] an interference module, configured to obtain interference data from the second polarization channel data, and use the interference data to interfere with the first polarization channel data to obtain interfered first polarization channel data;

[0031] The suppression module is used to use a preset low-rank algorithm to perform interference suppression on the first polarization channel data after interference, and perform interference removal according to the interference data to obtain the first polarization channel data after interference suppression.

[0032] According to a third aspect of the present application, the present application also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the steps of any one of the above methods.

[0033] According to a fourth aspect of the present application, the present application further provides a storage medium, wherein a plurality of instructions are stored in the storage medium, and the instructions are suitable for being loaded by a processor to execute the steps of any of the above methods.

[0034] Through one or more of the above-mentioned embodiments in the present application, at least the following technical effects can be achieved: the interference suppression method for a multi-polarization channel SAR system provided by the present application uses an interference signal of the second polarization channel data with strong interference to be appended to the first polarization channel data with weak interference to enhance the low rank of the first polarization channel data, and then uses a low rank algorithm to perform interference suppression on the appended first polarization channel data, thereby improving the interference suppression effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] The technical solution and other beneficial effects of the present application will be made apparent by describing in detail the specific implementation methods of the present application in conjunction with the accompanying drawings.

[0036] Figure 1 A flowchart of an interference suppression method for a multi-polarization channel SAR system provided in an embodiment of the present application;

[0037] Figure 2 A schematic diagram of VV polarization channel data provided in an embodiment of the present application;

[0038] Figure 3 A schematic diagram of VH polarization channel data provided in an embodiment of the present application;

[0039] Figure 4 A schematic diagram of interference data extracted from VH polarization channel data provided in an embodiment of the present application;

[0040] Figure 5 A schematic diagram showing interference data provided by an embodiment of the present application added to VV polarization channel data;

[0041] Figure 6 A schematic diagram of VV polarization channel data after final inhibition provided in an embodiment of the present application;

[0042] Figure 7 This is a schematic diagram of the structure of an interference suppression device for a multi-polarization channel SAR system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0043] The technical solutions in the embodiments of the present application will be described clearly and completely below in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present application.

[0044] In the description of this application, it should be noted that, unless otherwise clearly specified and limited, the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article, unless otherwise specified, generally indicates that the associated objects before and after are in an "or" relationship.

[0045] The problems of non-parametric methods, parametric methods and semi-parametric methods, such as poor suppression effect when the interference increases and being limited by prior information and models, can be solved by low-rank methods. Specifically, low-rank methods use the low rank of the interference signal to extract the interference. However, for SAR data with poor low rank, the performance of such methods is limited or even ineffective. In response to this problem, the interference suppression method, device, equipment and medium for a multi-polarization channel SAR system provided by the present application are introduced below in conjunction with the accompanying drawings.

[0046] Figure 1 FIG. 1 is a flow chart of an interference suppression method for a multi-polarization channel SAR system provided in an embodiment of the present application. Figure 1 As shown, an interference suppression method for a multi-polarization channel SAR system comprises the following steps:

[0047] S101, obtaining a SAR data matrix, wherein the SAR data matrix includes at least two polarization channel data interfered with at the same time and in the same scene.

[0048] In this step, the SAR system is used to record data of N polarization channels at the same time and in the same scene, and the data of each polarization channel is preprocessed such as correction and denoising to improve the data quality. The SAR data matrix includes the preprocessed polarization channel data. It should be noted that each polarization channel data is a data matrix, and the interference position in each matrix is ​​the same, but the interference intensity is different.

[0049] Wherein, 2≤N≤4. The SAR system has four polarization channels, namely, an HH polarization channel for horizontal transmission and horizontal reception, a VV polarization channel for vertical transmission and vertical reception, an HV polarization channel for horizontal transmission and vertical reception, and a VH polarization channel for vertical transmission and horizontal reception. The SAR data matrix may consist of at least two of HH polarization channel data, VV polarization channel data, HV polarization channel data, and VH polarization channel data.

[0050] S102: Determine first polarization channel data and second polarization channel data from the at least two polarization channel data according to interference energy values ​​corresponding to the polarization channel data.

[0051] The interference energy value of the second polarization channel data is greater than the interference energy value of the first polarization channel data.

[0052] In this step, one polarization channel data requiring interference suppression is determined from at least two polarization channel data as first polarization channel data (also referred to as main data), and at least one polarization channel data is selected from the remaining polarization channel data as second polarization channel data (also referred to as auxiliary data). It should be noted that the interference energy value of the second polarization channel data is greater than the interference energy value of the first polarization channel data.

[0053] S103: Obtain interference data from the second polarization channel data, and use the interference data to interfere with the first polarization channel data to obtain interfered first polarization channel data.

[0054] In this step, the interference data in the second polarization channel data is used to improve the low rank of the first polarization channel data. Specifically, the interference data in the second polarization channel data is added to the first polarization channel data, so as to obtain the first polarization channel data interfered by the interference data of the second polarization channel data.

[0055] S104: Use a preset low-rank algorithm to perform interference suppression on the interfered first polarization channel data, and perform interference removal according to the interference data to obtain final suppressed first polarization channel data.

[0056] In this step, the low rank of the first polarization channel data after interference is used to suppress interference, and the initial suppressed first polarization channel data is obtained. The interference data added by S103 in the initial suppressed first polarization channel data is further eliminated to obtain the final suppressed first polarization channel data, which is the matrix data after complete single polarization channel interference suppression.

[0057] The interference suppression method for a multi-polarization channel SAR system provided in an embodiment of the present application uses an interference signal of second polarization channel data with strong interference to be appended to first polarization channel data with weak interference to enhance the low rank of the first polarization channel data, and then uses a low rank algorithm to perform interference suppression on the appended first polarization channel data, thereby improving the interference suppression effect.

[0058] In some embodiments of the present application, the using the interference data to interfere with the first polarization channel data includes:

[0059] The interference position in the interference data is adjusted so that the adjusted interference position does not overlap with the initial interference position, thereby obtaining adjusted interference data.

[0060] The adjusted interference data is added to the first polarization channel data to obtain the interfered first polarization channel data.

[0061] Specifically, when obtaining the interference data { }After that, adjust the interference position so that the adjusted interference position does not overlap with the initial interference position, thereby obtaining the adjusted interference data { }.

[0062] It should be noted that the interference position in the second polarization channel data is the same as the interference position in the first polarization channel data. } position refers to adjusting { }The row and / or column where the interference position is located, so that the adjusted interference position does not overlap with the initial interference position.

[0063] After obtaining the adjusted interference data { }, then { } are sequentially added to the first polarization channel data { }, thereby obtaining the first polarization channel data after interference .

[0064] The interference suppression method for a multi-polarization channel SAR system provided in an embodiment of the present application adds interference in the second polarization channel data with stronger interference energy to different positions in the first polarization channel data, thereby enhancing the low rank of the first polarization channel data and facilitating subsequent interference stripping.

[0065] In some embodiments of the present application, determining the first polarization channel data and the second polarization channel data from the at least two polarization channel data according to the interference energy value corresponding to the polarization channel data includes:

[0066] The interference energy value of each polarization channel data is obtained by calculation according to the interference intensity and scene intensity of the polarization channel data.

[0067] A first polarization channel data and at least one second polarization channel data are determined according to the interference energy value, wherein the interference energy value of the second polarization channel data is greater than the interference energy value of the first polarization channel data.

[0068] Specifically, the ratio of the interference intensity to the scene intensity is calculated for each polarization channel data, so as to calculate the interference energy value of each polarization channel data. All the calculated interference energy values ​​are sorted. Indicatively, the interference energy values ​​can be sorted in ascending order to obtain the sorting result, and any one of the N-1 polarization channel data ranked at the bottom or the polarization channel data that needs interference suppression is determined as the first polarization channel data, and one or more of the remaining polarization channel data with higher interference energy values ​​than the first polarization channel data are selected as the second polarization channel data.

[0069] In schematic form, if the SAR data matrix has a total of 4 polarization channel data, the interference energy value of each polarization channel data is sorted in ascending order, and the sorting result is obtained as follows: < < < For example, , , , Refers to the interference energy values ​​corresponding to the first, second, third, and fourth polarization channel data respectively, then one of the first, second, and third polarization channel data can be determined as the first polarization channel data. The corresponding first polarization channel data is taken as the first polarization channel data, then , and The corresponding second, third and fourth polarization channel data can all be used as the second polarization channel data, only one of them can be used as the second polarization channel data, two of them can be used, or all of them can be used as the second polarization channel data. Preferably, the second, third and fourth polarization channel data can all be used as the second polarization channel data, and interference data acquisition is performed on each second polarization channel data, and the interference position in each interference data is adjusted to obtain 3 adjusted interference data, and the 3 adjusted interference data are all added to the first polarization channel data to obtain the first polarization channel data after interference, thereby greatly improving the low rank of the first polarization channel data and further improving the interference suppression effect. It should be noted that the interference adjustment positions in the three second polarization channel data can be the same or different, and there is no limitation on this.

[0070] For example, in When the corresponding second polarization channel data is used as the first polarization channel data, the second polarization channel data can be determined from the third and fourth corresponding polarization channel data. When the corresponding third polarization channel data is used as the first polarization channel data, the fourth corresponding polarization channel data is the second polarization channel data.

[0071] That is to say, when the SAR data matrix includes more than two polarization channel data, the process of determining the first polarization channel data and the second polarization channel data can be repeated, so as to perform better interference suppression processing on multiple polarization channel data in the SAR data matrix.

[0072] The interference suppression method for a multi-polarization channel SAR system provided in an embodiment of the present application utilizes at least one polarization channel data with stronger interference to improve the low rank property of polarization channel data with weaker interference, thereby obtaining a better interference suppression effect in the process of performing interference suppression using a low rank algorithm.

[0073] In some embodiments of the present application, the low-rank class algorithm includes at least one of a principal component analysis method, a robust principal component analysis method, and a complex tensor robust principal component analysis method. In other embodiments of the present application, other improved low-rank class algorithms may also be used, without limitation.

[0074] In some embodiments of the present application, the performing interference elimination according to the interference data includes:

[0075] The interference in the suppressed first polarization channel data is eliminated according to the adjusted interference position in the adjusted interference data to obtain final suppressed first polarization channel data.

[0076] In this embodiment, the interference in the suppressed first polarization channel data is further eliminated according to the adjusted interference position, so as to obtain the final complete matrix data of the single polarization channel after interference suppression.

[0077] In some embodiments of the present application, the acquiring interference data from the second polarization channel data includes:

[0078] intercepting a matrix of an interference area in the second polarization channel data as interference data;

[0079] And / or, obtaining interference data from the second polarization channel data using one of a principal component analysis method, a robust principal component analysis method, and a complex tensor robust principal component analysis method.

[0080] In this embodiment, the second polarization channel data { } each matrix intercepts the matrix data of the interference area to obtain interference data, or In the above method, each matrix adopts one or more of principal component analysis (PCA), robust principal component analysis (RPCA), complex tensor robust principal component analysis (CT-RPCA), etc. to obtain interference data.

[0081] In some embodiments of the present application, the SAR data matrix includes at least two of vertically polarized transmission and vertically polarized reception data, vertically polarized transmission and horizontally polarized reception data, horizontally polarized transmission and vertically polarized reception data, and horizontally polarized transmission and horizontally polarized reception data.

[0082] In one embodiment of the present application, the SAR data matrix includes VV polarization channel data VH polarization channel data The imaging effects of the two are as follows Figure 2 and Figure 3 As shown, there is interference.

[0083] By comparison and The intensity of the interference and the scene above can be obtained. The relative intensity of the interference of the VH polarization channel is stronger than that of the VV polarization channel. As the polarization channel data to be suppressed (that is, the first polarization channel data), As auxiliary data (that is, the second polarization channel data).

[0084] Afterwards, The interference in the Perform SVD decomposition (Singular Value Decomposition), , where the extracted interference ,in To transform the matrix The first 20 rows are extracted, and the following rows are set to zero. The extracted interference data is as follows Figure 4 As shown, U is the left singular vector and V is the right singular vector.

[0085] Will The interference position is adjusted to the upper part, The lower part where the interference is located is not in the same area. The adjusted interference position does not overlap with the original position at all. The interference matrix after the adjustment is: , the polarization channel data matrix to be processed and matrix Superposition, such as Figure 5 As shown, we get Figure 5 The first polarization channel data after interference is shown .

[0086] A low-rank sparse algorithm is used to parse the first polarization channel data after interference. Perform robust principal component analysis to obtain the suppressed single polarization channel SAR data matrix .

[0087] The suppressed data matrix The additional interference to be eliminated Replace the upper part with The data without interference in the upper part is as follows Figure 6 The complete matrix data after single polarization channel interference suppression is shown .

[0088] The interference suppression method for a multi-polarization channel SAR system provided in an embodiment of the present application utilizes polarization channel data with stronger interference to improve the low rank of polarization channel data with weaker interference, and then utilizes a low rank algorithm to perform interference suppression, thereby improving the effect of interference suppression, and can achieve the effect of suppressing interference in the SAR system and protecting the real scene.

[0089] Based on any of the above embodiments, another embodiment of the present application further provides an interference suppression device for a multi-polarization channel SAR system, such as Figure 7 As shown, the interference suppression device of the multi-polarization channel SAR system includes:

[0090] A data acquisition module 701 is used to acquire a SAR data matrix, where the SAR data matrix includes at least two polarization channel data interfered with at the same time and in the same scene;

[0091] a suppression object determining module 702, configured to determine first polarization channel data and second polarization channel data from the at least two polarization channel data according to the interference energy value corresponding to the polarization channel data, wherein the interference energy value of the second polarization channel data is greater than the interference energy value of the first polarization channel data;

[0092] An interference module 703 is configured to obtain interference data from the second polarization channel data, and use the interference data to interfere with the first polarization channel data to obtain interfered first polarization channel data;

[0093] The suppression module 704 is configured to perform interference suppression on the interfered first polarization channel data by using a preset low-rank algorithm, and perform interference removal according to the interference data to obtain interference suppressed first polarization channel data.

[0094] The interference suppression device of the multi-polarization channel SAR system corresponds to the interference suppression method of the multi-polarization channel SAR system, which will not be described in detail herein.

[0095] Based on any of the above embodiments, another embodiment of the present invention further provides an electronic device, which may include: a processor, a communications interface, a memory, and a communication bus, wherein the processor, the communications interface, and the memory communicate with each other through the communication bus. The processor may call the logic instructions in the memory to execute the interference suppression method of the multi-polarization channel SAR system.

[0096] In addition, the logic instructions in the above-mentioned memory can be implemented in the form of software functional units and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., which can store program code.

[0097] In addition, the logic instructions in the above-mentioned memory can be implemented in the form of software functional units and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., which can store program code.

[0098] On the other hand, an embodiment of the present invention further provides a storage medium on which a plurality of instructions are stored, and the instructions are suitable for being loaded by a processor to execute the interference suppression method for a multi-polarization channel SAR system provided in the above embodiments.

[0099] In addition, the logic instructions in the above-mentioned storage medium can be implemented in the form of software functional units and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0100] On the other hand, an embodiment of the present application further provides a computer program product. When the program code contained in the computer program product is executed by a processor in an electronic device, the interference suppression method of the multi-polarization channel SAR system provided in the above embodiments is implemented.

[0101] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0102] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0103] In summary, although the present application has been disclosed as above with preferred embodiments, the above preferred embodiments are not intended to limit the present application. Ordinary technicians in this field can make various changes and modifications without departing from the spirit and scope of the present application. Therefore, the scope of protection of the present application shall be based on the scope defined in the claims.

Claims

1. An interference suppression method for a multi-polarization channel SAR system, characterized in that: include: Acquire a SAR data matrix, where the SAR data matrix includes at least two polarization channel data interfered with at the same time and in the same scene; determining first polarization channel data and second polarization channel data from the at least two polarization channel data according to the interference energy value corresponding to the polarization channel data, wherein the interference energy value of the second polarization channel data is greater than the interference energy value of the first polarization channel data; Acquire interference data from the second polarization channel data, and use the interference data to interfere with the first polarization channel data to obtain interfered first polarization channel data; Using a preset low-rank algorithm to perform interference suppression on the first polarization channel data after interference, and performing interference removal according to the interference data to obtain the first polarization channel data after interference suppression; The using the interference data to interfere with the first polarization channel data includes: Adjusting the interference position in the interference data so that the adjusted interference position does not overlap with the initial interference position, thereby obtaining adjusted interference data; The adjusted interference data is added to the first polarization channel data to obtain the interfered first polarization channel data.

2. The method according to claim 1, characterized in that The determining, from the at least two polarization channel data, first polarization channel data and second polarization channel data according to the interference energy value corresponding to the polarization channel data, includes: Obtaining an interference energy value of each polarization channel data by calculation according to the interference intensity and scene intensity of the polarization channel data; A first polarization channel data and at least one second polarization channel data are determined according to the interference energy value.

3. The method according to claim 1, characterized in that The low-rank class algorithm includes at least one of a principal component analysis method, a robust principal component analysis method, and a complex tensor robust principal component analysis method.

4. The method according to claim 1, characterized in that The removing interference according to the interference data comprises: The interference in the suppressed first polarization channel data is eliminated according to the adjusted interference position in the adjusted interference data to obtain final suppressed first polarization channel data.

5. The method according to claim 1, characterized in that The acquiring interference data from the second polarization channel data includes: intercepting a matrix of an interference area in the second polarization channel data as interference data; And / or, obtaining interference data from the second polarization channel data using one of a principal component analysis method, a robust principal component analysis method, and a complex tensor robust principal component analysis method.

6. The method according to any one of claims 1 to 5, characterized in that: The SAR data matrix includes at least two of vertical polarization transmission and vertical polarization reception data, vertical polarization transmission and horizontal polarization reception data, horizontal polarization transmission and vertical polarization reception data, and horizontal polarization transmission and horizontal polarization reception data.

7. An interference suppression device for a multi-polarization channel SAR system, characterized in that: include: A data acquisition module, used to acquire a SAR data matrix, wherein the SAR data matrix includes at least two polarization channel data interfered at the same time and in the same scene; a suppression object determination module, configured to determine first polarization channel data and second polarization channel data from the at least two polarization channel data according to interference energy values ​​corresponding to the polarization channel data, wherein the interference energy value of the second polarization channel data is greater than the interference energy value of the first polarization channel data; an interference module, configured to obtain interference data from the second polarization channel data, and use the interference data to interfere with the first polarization channel data to obtain interfered first polarization channel data; A suppression module, used to use a preset low-rank algorithm to perform interference suppression on the first polarization channel data after interference, and perform interference removal according to the interference data to obtain the first polarization channel data after interference suppression; Wherein, the interference module is specifically used for: Adjusting the interference position in the interference data so that the adjusted interference position does not overlap with the initial interference position, thereby obtaining adjusted interference data; The adjusted interference data is added to the first polarization channel data to obtain the interfered first polarization channel data.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A storage medium, characterized in that: The storage medium stores a plurality of instructions, and the instructions are suitable for being loaded by a processor to execute the steps of the method according to any one of claims 1 to 6.

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