Generalized similarity measurement method, device, equipment and storage medium for polarimetric radar

Abstract

The present invention discloses a generalized similarity measurement method, device, equipment and storage medium for polarization radar, wherein the method comprises: respectively obtaining polarization target coherence matrices of two targets to be measured; respectively decomposing the two polarization target coherence matrices according to preset decomposition rules to obtain a first decomposition component of the first polarization target coherence matrix and a second decomposition component of the second polarization target coherence matrix; performing non-repeating permutations and combinations of the first decomposition component and the second decomposition component, and calculating the polarization similarity of each combination to obtain multiple polarization similarity values; selecting the minimum polarization similarity value as the generalized polarization similarity measurement result of the two targets to be measured. In the above manner, the present invention can perform similarity measurement on a variety of different types of targets, improve its versatility, and has stronger applicability in polarization SAR data processing and application.

Description

Technical Field

[0001] The present application relates to the field of radar detection, and in particular to a generalized similarity measurement method, device, equipment and storage medium for polarization radar. Background Art

[0002] Radar is an important means of detecting ground objects. With the deepening of people's understanding of the target electromagnetic polarization scattering mechanism and the development of radar polarization measurement technology, radar polarization research has gradually attracted attention. Polarization radar obtains the target polarization matrix by measuring the transformation relationship between the incident wave and the scattered wave electric field vector or Stokes vector. For a single target, it is represented by a 2*2 Sinclair scattering matrix, and for distributed targets, it is represented by a 3*3 polarization coherence matrix or polarization covariance matrix. By analyzing and processing these matrices, the physical scattering mechanism and geometric structure information of the target can be inverted, and the target can be classified.

[0003] Polarization similarity can measure the correlation coefficient between two polarization targets. Compared with polarization target decomposition, it does not require a perfect theoretical model, and the solution process is simple and easy to operate. Polarization similarity can be used for two independent scattering targets to measure the similarity between targets, and can also be used to compare target scattering with standard scattering, and classify target scattering according to the similarity between the two scatterings. However, several existing polarization similarity measurement methods can only measure a single situation, such as only realizing polarization similarity measurement between single targets, or only realizing polarization similarity measurement between distributed targets, etc., which has great limitations and cannot be applied to all polarization scattering targets, reducing the applicability of polarization similarity in polarization SAR data processing and application. Summary of the invention

[0004] The present application provides a generalized similarity measurement method, device, equipment and storage medium for polarization radar to solve the problems of large limitations and weak versatility of existing similarity measurement methods.

[0005] To solve the above technical problems, a technical solution adopted in the present application is: to provide a generalized similarity measurement method for polarization radar, including: respectively obtaining polarization target coherence matrices of two targets to be measured; respectively decomposing the two polarization target coherence matrices according to preset decomposition rules to obtain a first decomposition component of the first polarization target coherence matrix and a second decomposition component of the second polarization target coherence matrix; performing non-repeating permutations and combinations on the first decomposition component and the second decomposition component, and calculating the polarization similarity of each combination to obtain multiple polarization similarity values; and selecting the smallest polarization similarity value as the generalized polarization similarity measurement result of the two targets to be measured.

[0006] As a further improvement of the present application, the two targets to be measured are one of a single target and a single target, a single target and a distributed target, a distributed target and a distributed target, and a distributed target and a standard scattered target.

[0007] As a further improvement of the present application, polarization target coherence matrices of two targets to be measured are obtained respectively, including: when the target to be measured is a single target, a 2×2 scattering matrix of the target to be measured is obtained, and the 2×2 scattering matrix is ​​converted into a 3×3 polarization target coherence matrix; when the target to be measured is a distributed target, a polarization coherence matrix or a polarization covariance matrix of the target to be measured is obtained, and the polarization coherence matrix or the polarization covariance matrix is ​​converted into a 3×3 polarization target coherence matrix; when the target to be measured is a standard scattering target, a standard scattering matrix of the standard scattering target is obtained, and the standard scattering matrix is ​​converted into a 3×3 polarization target coherence matrix.

[0008] As a further improvement of the present application, the decompositions of the first polarization target coherence matrix and the second polarization target coherence matrix are respectively expressed as:

[0009]

[0010]

[0011] Among them, T 1 is the first polarization target coherence matrix, T 2 is the second polarization target coherence matrix, det represents the determinant of the matrix, p i is the normalized eigenvalue of the first polarization target coherence matrix, q j is the normalized eigenvalue of the second polarization target coherence matrix and satisfies: e i is the first decomposed component of the first polarization target coherence matrix, k j A second decomposed component of a second polarization target coherence matrix.

[0012] As a further improvement of the present application, before the first decomposition component and the second decomposition component are arranged and combined without repetition and the polarization similarity of each combination is calculated to obtain multiple polarization similarity values, it also includes: respectively performing deorientation angle processing on the first decomposition component and the second decomposition component to obtain the first decomposition component and the second decomposition component with an orientation angle of 0.

[0013] As a further improvement of the present application, the first decomposition component and the second decomposition component are arranged and combined non-repeatingly, and the polarization similarity of each combination is calculated to obtain multiple polarization similarity values, including: combining the normalized eigenvalues ​​of the two polarization target coherence matrices, and respectively calculating the single polarization similarity value between each first decomposition component and each second decomposition component; the first decomposition component and the second decomposition component are arranged and combined non-repeatingly, and the sum of all single polarization similarity values ​​corresponding to each non-repeating arrangement and combination is used as the polarization similarity value of the non-repeating arrangement and combination.

[0014] As a further improvement of the present application, the calculation formula of single polarization similarity is:

[0015]

[0016] Among them, s ij represents the polarization similarity value between the i-th first decomposition component and the j-th second decomposition component, represents the first decomposed component after deorientation angle, represents the jth second decomposition component after deorientation angle.

[0017] To solve the above technical problems, another technical solution adopted in the present application is: to provide a generalized similarity measurement device for a polarization radar, comprising: an acquisition module, used to respectively acquire the polarization target coherence matrices of two targets to be measured; a decomposition module, used to decompose the two polarization target coherence matrices according to a preset decomposition rule, to obtain a first decomposition component of the first polarization target coherence matrix and a second decomposition component of the second polarization target coherence matrix; a calculation module, used to arrange and combine the first decomposition component and the second decomposition component without repetition, and calculate the polarization similarity of each combination to obtain multiple polarization similarity values; a selection module, used to select the minimum polarization similarity value as the generalized polarization similarity measurement result of the two targets to be measured.

[0018] To solve the above technical problems, another technical solution adopted in the present application is: providing a computer device, the computer device comprising a processor and a memory coupled to the processor, the memory storing program instructions, and when the program instructions are executed by the processor, the processor executes the steps of the generalized similarity measurement method of the above polarization radar.

[0019] In order to solve the above technical problem, another technical solution adopted by the present application is: providing a storage medium storing program instructions capable of implementing the above generalized similarity measurement method of polarization radar.

[0020] The beneficial effect of the present application is as follows: the generalized similarity measurement method of the polarization radar of the present application obtains the polarization target coherence matrix of the target to be measured, decomposes the polarization target coherence matrix to obtain decomposed components, then combines the decomposed components of the two polarization target coherence matrices in pairs, and calculates the polarization similarity value of each combination, and finally selects the smallest polarization similarity value as the generalized polarization similarity measurement result of the two targets to be measured. The measurement process is no longer limited to targets of fixed types, but is applicable to targets that can convert matrix information into target coherence matrix information, thereby improving its versatility and making it more applicable in polarization SAR data processing and application. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 is a flow chart of a generalized similarity measurement method for polarization radar according to an embodiment of the present invention;

[0022] Figure 2 1 is a functional module schematic diagram of a generalized similarity measurement device for a polarization radar according to an embodiment of the present invention;

[0023] Figure 3 is a schematic diagram of the structure of a computer device according to an embodiment of the present invention;

[0024] Figure 4 It is a schematic diagram of the structure of the storage medium of an embodiment of the present invention. DETAILED DESCRIPTION

[0025] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0026] The terms "first", "second", "third" in this application are only used for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of indicated technical features. Thus, the features defined as "first", "second", "third" can expressly or implicitly include at least one of the features. In the description of this application, the meaning of "multiple" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined. In the embodiments of this application, all directional indications (such as up, down, left, right, front, back...) are only used to explain the relative position relationship, movement, etc. between the components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication also changes accordingly. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device comprising a series of steps or units is not limited to the steps or units listed, but optionally also includes steps or units that are not listed, or optionally also includes other steps or units inherent to these processes, methods, products or devices.

[0027] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0028] Figure 1 FIG. 1 is a flow chart of a generalized similarity measurement method for polarization radar according to an embodiment of the present invention. It should be noted that if there are substantially the same results, the method of the present invention is not limited to Figure 1 The process sequence shown is limited. Figure 1 As shown, the method comprises the steps of:

[0029] Step S101: respectively obtaining polarization target coherence matrices of two targets to be measured.

[0030] It should be understood that the two targets to be measured are one of single target and single target, single target and distributed target, distributed target and distributed target, and distributed target and standard scattering target. Among them, single target refers to a certain target targeted during polarimetric radar detection, such as a house, a car, etc.; distributed target refers to all targets in a certain area targeted during polarimetric radar detection, such as all buildings, vehicles, trees, etc.; standard scattering target refers to a target detected in a certain way, in which standard scattering can be used to compare with target scattering, and target scattering classification is achieved according to the similarity of the scattering of the two.

[0031] Specifically, in this embodiment, in order to improve the applicability of the generalized similarity measurement method of the polarization radar, there is no limitation on the target for which similarity measurement is required, and it is only necessary to obtain the polarization target coherence matrix from the target to be measured. It should be noted that, in order to better perform calculations, the embodiments of the present invention all use the 3×3 polarization coherence matrix as a unified expression of the target to be measured for calculation.

[0032] Therefore, step S101 specifically includes:

[0033] 1. When the target to be measured is a single target, obtain the 2×2 scattering matrix of the target to be measured, and convert the 2×2 scattering matrix into a 3×3 polarization target coherence matrix.

[0034] 2. When the target to be measured is a distributed target, a polarization coherence matrix or a polarization covariance matrix of the target to be measured is obtained, and the polarization coherence matrix or the polarization covariance matrix is ​​converted into a 3×3 polarization target coherence matrix.

[0035] 3. When the target to be measured is a standard scattering target, obtain the standard scattering matrix of the standard scattering target, and convert the standard scattering matrix into a 3×3 polarization target coherence matrix.

[0036] Step S102: Decompose the two polarization target coherence matrices according to a preset decomposition rule to obtain a first decomposition component of the first polarization target coherence matrix and a second decomposition component of the second polarization target coherence matrix.

[0037] Specifically, after obtaining the polarization target coherence matrix of the two targets to be measured, decomposition is performed according to a preset decomposition rule, and the preset decomposition rule is preferably a Cloude-Pottier rule. In addition, since the polarization target coherence matrix is ​​a 3×3 matrix, the number of its hierarchical decomposition components is 3.

[0038] The decompositions of the first polarization target coherence matrix and the second polarization target coherence matrix are respectively expressed as:

[0039]

[0040]

[0041] Among them, T 1 is the first polarization target coherence matrix, T 2 is the second polarization target coherence matrix, det represents the determinant of the matrix, p i is the normalized eigenvalue of the first polarization target coherence matrix, q j is the normalized eigenvalue of the second polarization target coherence matrix and satisfies: e iis the first decomposed component of the first polarization target coherence matrix, k j A second decomposed component of a second polarization target coherence matrix.

[0042] In this embodiment, the purpose of increasing the normalized eigenvalue of the polarization target coherence matrix is ​​to fully reflect the proportion of each decomposed component in the original polarization target, so that the similarity measurement result finally calculated has higher credibility.

[0043] Step S103: performing non-repeated permutations and combinations on the first decomposition component and the second decomposition component, and calculating the polarization similarity of each combination to obtain a plurality of polarization similarity values.

[0044] Specifically, after the polarization target coherence matrix is ​​decomposed to obtain decomposed components, the decomposed components of two polarization target coherence matrices are combined in pairs, and then the polarization similarity of each combination is calculated respectively.

[0045] It should be noted that before step S103, the method further includes: performing deorientation angle processing on the first decomposition component and the second decomposition component respectively to obtain the first decomposition component and the second decomposition component with an orientation angle of 0.

[0046] Specifically, in this embodiment, the first decomposition component is taken as an example for description, and the de-orientation processing process is as follows:

[0047]

[0048] Orientation Angle Calculated by the following formula:

[0049]

[0050] The first decomposition component after deorientation It is expressed as:

[0051]

[0052] in is the rotation operator,

[0053] Furthermore, step S103 specifically includes:

[0054] 1. Combine the normalized eigenvalues ​​of the two polarization target coherence matrices and calculate the single polarization similarity value between each first decomposition component and each second decomposition component.

[0055] Among them, the calculation formula of single polarization similarity is:

[0056]

[0057] Among them, sij represents the polarization similarity value between the i-th first decomposition component and the j-th second decomposition component, represents the first decomposed component after deorientation angle, represents the jth second decomposition component after deorientation angle.

[0058] 2. Perform non-repeating permutations and combinations on the first decomposition component and the second decomposition component, and take the sum of all single polarization similarity values ​​corresponding to each non-repeating permutation and combination as the polarization similarity value of the non-repeating permutation and combination.

[0059] Specifically, considering that the number of decomposition components of each polarization target coherence matrix is ​​3, after performing non-repeated permutations and combinations, 6 combination results can be obtained, as follows:

[0060] 1.

[0061] 2.

[0062] 3.

[0063] 4.

[0064] 5.

[0065] 6.

[0066] Therefore, the corresponding polarization similarities are calculated for the above 6 combinations respectively, and the calculation formula is as follows:

[0067] GS 1 =s 11 +s 22 +s 33 ;

[0068] GS 2 =s 11 +s 23 +s 32 ;

[0069] GS 3 =s 12 +s 21 +s 33 ;

[0070] GS 4 =s 13 +s 22 +s 31 ;

[0071] GS 5 =s 13 +s21 +s 32 ;

[0072] GS 6 =s 12 +s 23 +s 31 .

[0073] Step S1014: selecting the minimum polarization similarity value as the generalized polarization similarity measurement result of the two objects to be measured.

[0074] Specifically, the generalized similarity GS(T 1 ,T 2 ), the calculation formula is as follows:

[0075]

[0076] In this embodiment, the generalized similarity measurement result calculated in the above manner satisfies the characteristics of rotation invariance, scale invariance and finiteness that all polarization similarities should satisfy, wherein:

[0077] 1. Rotational invariance:

[0078]

[0079] in is any angle, Represents the T matrix by angle Perform rotation transformation;

[0080] 2. Scale invariance:

[0081] GS(T 1 ,T 2 )=GS(a 1 T 1 ,a 2 T 2 )

[0082] where a 1 , a 2 Any plural number.

[0083] 3. Limitedness:

[0084] 0≤GS(T 1 ,T 2 )≤1

[0085] If and only if there is an angle Make When GS(T 1 ,T 2 )=1.

[0086] Therefore, the generalized similarity measurement method of the polarization radar according to the embodiment of the present invention is applicable to any form of polarization target, and is therefore also called generalized polarization similarity.

[0087] The generalized similarity measurement method of the polarization radar of the embodiment of the present invention obtains the polarization target coherence matrix of the target to be measured, decomposes the polarization target coherence matrix to obtain decomposition components, then combines the decomposition components of two polarization target coherence matrices in pairs, calculates the polarization similarity value of each combination, and finally selects the smallest polarization similarity value as the generalized polarization similarity measurement result of the two targets to be measured. The measurement process is no longer limited to targets of fixed types, but is applicable to targets that can convert matrix information into target coherence matrix information, thereby improving its versatility and making it more applicable in polarization SAR data processing and application.

[0088] Figure 2 Schematic diagram of the functional modules of the generalized similarity measurement device of the polarization radar according to the embodiment of the present invention. Figure 2 As shown, the device 20 includes an acquisition module 21, a decomposition module 22, a calculation module 23 and a selection module 24.

[0089] An acquisition module 21 is used to respectively acquire polarization target coherence matrices of two targets to be measured;

[0090] A decomposition module 22, configured to decompose the two polarization target coherence matrices according to a preset decomposition rule to obtain a first decomposition component of the first polarization target coherence matrix and a second decomposition component of the second polarization target coherence matrix;

[0091] A calculation module 23, configured to perform non-repeated permutations and combinations of the first decomposition component and the second decomposition component, and calculate the polarization similarity of each combination to obtain a plurality of polarization similarity values;

[0092] The selection module 24 is used to select the minimum polarization similarity value as the generalized polarization similarity measurement result of the two objects to be measured.

[0093] Optionally, the two targets to be measured are one of a single target and a single target, a single target and a distributed target, a distributed target and a distributed target, and a distributed target and a standard scattered target.

[0094] Optionally, the acquisition module 21 performs operations of respectively acquiring polarization target coherence matrices of two targets to be measured, specifically including: when the target to be measured is a single target, acquiring a 2×2 scattering matrix of the target to be measured, and converting the 2×2 scattering matrix into a 3×3 polarization target coherence matrix; when the target to be measured is a distributed target, acquiring a polarization coherence matrix or a polarization covariance matrix of the target to be measured, and converting the polarization coherence matrix or the polarization covariance matrix into a 3×3 polarization target coherence matrix; when the target to be measured is a standard scattering target, acquiring a standard scattering matrix of the standard scattering target, and converting the standard scattering matrix into a 3×3 polarization target coherence matrix.

[0095] Optionally, decompositions of the first polarization target coherence matrix and the second polarization target coherence matrix are respectively expressed as:

[0096]

[0097]

[0098] Among them, T 1 is the first polarization target coherence matrix, T 2 is the second polarization target coherence matrix, det represents the determinant of the matrix, p i is the normalized eigenvalue of the first polarization target coherence matrix, q j is the normalized eigenvalue of the second polarization target coherence matrix and satisfies: e i is the first decomposed component of the first polarization target coherence matrix, k j A second decomposed component of a second polarization target coherence matrix.

[0099] Optionally, before the calculation module 23 performs the operation of non-repeatingly permuting and combining the first decomposition component and the second decomposition component and calculating the polarization similarity of each combination to obtain multiple polarization similarity values, it is also used to: respectively de-orientate the first decomposition component and the second decomposition component to obtain the first decomposition component and the second decomposition component with an orientation angle of 0.

[0100] Optionally, the calculation module 23 performs an operation of non-repeatingly arranging and combining the first decomposition component and the second decomposition component, and calculating the polarization similarity of each combination to obtain multiple polarization similarity values, specifically including: combining the normalized eigenvalues ​​of the two polarization target coherence matrices, and respectively calculating the single polarization similarity value between each first decomposition component and each second decomposition component; non-repeatingly arranging and combining the first decomposition component and the second decomposition component, and taking the sum of all single polarization similarity values ​​corresponding to each non-repeating arrangement and combination as the polarization similarity value of the non-repeating arrangement and combination.

[0101] Optionally, the calculation formula of single polarization similarity is:

[0102]

[0103] Among them, s ij represents the polarization similarity value between the i-th first decomposition component and the j-th second decomposition component, represents the first decomposed component after deorientation angle, represents the jth second decomposition component after deorientation angle.

[0104] For other details of the technical solutions for implementing each module in the generalized similarity measurement device for polarimetric radar in the above embodiment, reference may be made to the description of the generalized similarity measurement method for polarimetric radar in the above embodiment, which will not be repeated here.

[0105] It should be noted that each embodiment in this specification is described in a progressive manner, and each embodiment focuses on the differences from other embodiments, and the same or similar parts between the embodiments can be referred to each other. For the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0106] See also Figure 3 , Figure 3 FIG. 1 is a schematic diagram of the structure of a computer device according to an embodiment of the present invention. Figure 3 As shown, the computer device 60 includes a processor 61 and a memory 62 coupled to the processor 61, wherein the memory 62 stores program instructions. When the program instructions are executed by the processor 61, the processor 61 executes the steps of the generalized similarity measurement method for polarization radar described in any of the above embodiments.

[0107] The processor 61 may also be referred to as a CPU (Central Processing Unit). The processor 61 may be an integrated circuit chip having the ability to process signals. The processor 61 may also be a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0108] See also Figure 3 , Figure 3Schematic diagram of the structure of the storage medium of the embodiment of the present invention. The storage medium of the embodiment of the present invention stores program instructions 71 that can implement all the above methods, wherein the program instructions 71 can be stored in the above storage medium in the form of a software product, including a number of instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) or a processor (processor) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk, or a computer device such as a computer, a server, a mobile phone, and a tablet.

[0109] In the several embodiments provided in the present application, it should be understood that the disclosed computer equipment, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0110] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above integrated unit may be implemented in the form of hardware or in the form of software functional units. The above is only an implementation method of the present application, and does not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made by using the contents of the specification and drawings of this application, or directly or indirectly used in other related technical fields, is also included in the patent protection scope of the present application.

Claims

1. A generalized similarity measurement method for polarimetric radar, characterized in that: include: respectively obtaining polarization target coherence matrices of two targets to be measured; Specifically include: When the target to be measured is a single target, a 2×2 scattering matrix of the target to be measured is obtained, and the 2×2 scattering matrix is ​​converted into a 3×3 polarization target coherence matrix; When the target to be measured is a distributed target, obtaining a polarization coherence matrix or a polarization covariance matrix of the target to be measured, and converting the polarization coherence matrix or the polarization covariance matrix into a 3×3 polarization target coherence matrix; When the target to be measured is a standard scattering target, obtaining a standard scattering matrix of the standard scattering target, and converting the standard scattering matrix into a 3×3 polarization target coherence matrix; Decomposing the two polarization target coherence matrices according to a preset decomposition rule, respectively, to obtain a first decomposition component of the first polarization target coherence matrix and a second decomposition component of the second polarization target coherence matrix; considering that the polarization target coherence matrix is ​​a 3×3 matrix, the number of its hierarchical decomposition components is 3; The first decomposition component and the second decomposition component are arranged and combined without repetition, and the polarization similarity of each combination is calculated to obtain a plurality of polarization similarity values; The minimum polarization similarity value is selected as the generalized polarization similarity measurement result of the two objects to be measured.

2. The generalized similarity measurement method for polarization radar according to claim 1, characterized in that: The two targets to be measured are one of a single target and a single target, a single target and a distributed target, a distributed target and a distributed target, and a distributed target and a standard scattered target.

3. The generalized similarity measurement method for polarimetric radar according to claim 1, characterized in that: The decompositions of the first polarization target coherence matrix and the second polarization target coherence matrix are respectively expressed as: ； ； in, is the first polarization target coherence matrix, is the second polarization target coherence matrix, represents the determinant of the matrix, is the normalized eigenvalue of the first polarization target coherence matrix, is the normalized eigenvalue of the second polarization target coherence matrix, and satisfies: , is the first decomposed component of the first polarization target coherence matrix, A second decomposed component of the second polarization target coherence matrix.

4. The generalized similarity measurement method for polarization radar according to claim 3, characterized in that: Before the first decomposition components and the second decomposition components are arranged and combined without repetition and the polarization similarity of each combination is calculated to obtain a plurality of polarization similarity values, the method further includes: The first decomposition component and the second decomposition component are respectively subjected to deorientation angle processing to obtain a first decomposition component and a second decomposition component with an orientation angle of 0.

5. The generalized similarity measurement method for polarimetric radar according to claim 4, characterized in that: The first decomposition component and the second decomposition component are arranged and combined without repetition, and the polarization similarity of each combination is calculated to obtain a plurality of polarization similarity values, including: combining the normalized eigenvalues ​​of the two polarization target coherence matrices, and respectively calculating a single polarization similarity value between each first decomposition component and each second decomposition component; The first decomposition component and the second decomposition component are arranged and combined in a non-repeating manner, and the sum of all single polarization similarity values ​​corresponding to each non-repeating arrangement and combination is used as the polarization similarity value of the non-repeating arrangement and combination.

6. The generalized similarity measurement method for polarimetric radar according to claim 5, characterized in that: The calculation formula of the single polarization similarity is: ； in, Indicates The first decomposition component and the The polarization similarity value between the second decomposition components, Represents the first The first decomposition component, Represents the first The second decomposition component.

7. A generalized similarity measurement device for polarimetric radar, characterized in that: A generalized similarity measurement method for polarization radar according to any one of claims 1 to 6 is adopted; the measurement device comprises: An acquisition module, used to respectively acquire polarization target coherence matrices of two targets to be measured; A decomposition module, used to decompose the two polarization target coherence matrices according to a preset decomposition rule to obtain a first decomposition component of the first polarization target coherence matrix and a second decomposition component of the second polarization target coherence matrix; A calculation module, used for performing non-repeated permutations and combinations of the first decomposition components and the second decomposition components, and calculating the polarization similarity of each combination to obtain a plurality of polarization similarity values; The selection module is used to select the minimum polarization similarity value as the generalized polarization similarity measurement result of the two objects to be measured.

8. A computer device, characterized in that: The computer device includes a processor and a memory coupled to the processor, wherein program instructions are stored in the memory, and when the program instructions are executed by the processor, the processor executes the steps of the generalized similarity measurement method for polarimetric radar according to any one of claims 1 to 6.

9. A storage medium, characterized in that: The device stores program instructions capable of implementing the generalized similarity measurement method for the polarimetric radar according to any one of claims 1 to 6.

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