WO2023116455A1

WO2023116455A1 - Generalized similarity measurement method and apparatus for polarimetric radar, device, and storage medium

Info

Publication number: WO2023116455A1
Application number: PCT/CN2022/137662
Authority: WO
Inventors: 李洪忠; 孙鹭怡; 韩宇; 陈劲松
Original assignee: 深圳先进技术研究院
Priority date: 2021-12-20
Filing date: 2022-12-08
Publication date: 2023-06-29
Also published as: CN114417973A

Abstract

Disclosed in the present invention are a generalized similarity measurement method and apparatus for a polarimetric radar, a device, and a storage medium. The method comprises: respectively obtaining polarized target coherence matrixes of two objects to be measured; decomposing the two polarized target coherence matrixes according to a preset decomposition rule to obtain a first decomposition component of the first polarized target coherence matrix and a second decomposition component of the second polarized target coherence matrix; performing permutation without repetition on the first decomposition component and the second decomposition component, and calculating the polarized similarity of each permutation to obtain a plurality of polarized similarity values; and selecting a minimum polarized similarity value as a generalized polarized similarity measurement result of said two objects. According to the method in the present invention, the similarity of different types of objects can be measured, the universality of the method is improved, and the method is higher in applicability in polarized SAR data processing and application.

Description

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

technical field

The present application relates to the field of radar detection, in particular to a generalized similarity measurement method, device, equipment and storage medium for polarized radar.

Background technique

Radar is an important means of ground object detection. With the in-depth understanding of target electromagnetic polarization scattering mechanism and the development of radar polarization measurement technology, radar polarization research has gradually attracted attention. The 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*2Sinclair scattering matrix, and for a distributed target, it is represented by a 3*3 polarization coherence matrix or polarization covariance matrix. Through the analysis and processing of these matrices, the physical scattering mechanism of the target can be inverted and geometric structure information, and classify objects.

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 calculation process is simple and easy to operate. Polarization similarity can be used to measure the similarity between two independent scattering targets, and it can also be used to compare the target scattering with the normative scattering, and realize the target scattering classification according to the similarity of the two scattering. However, the existing polarization similarity measurement methods can only measure a single situation, such as the polarization similarity measurement between single targets, or the polarization similarity between distributed targets Measurements, etc., have great limitations and cannot be applied to all polarimetric scattering targets, which reduces the applicability of polarization similarity in data processing and application of polarimetric SAR.

Contents of the invention

The present application provides a generalized similarity measurement method, device, equipment and storage medium for polarimetric radars, so as to solve the problems of large limitations and weak versatility of existing similarity measurement methods.

In order to solve the above technical problems, a technical solution adopted by the present application is to provide a generalized similarity measurement method for polarimetric radar, which includes: respectively obtaining the coherence matrices of the two polarized targets to be measured; combining the two polarized targets The coherence matrix is respectively decomposed according to the preset decomposition rules to obtain the first decomposed component of the first polarized target coherent matrix and the second decomposed component of the second polarized target coherent matrix; the first decomposed component and the second decomposed component are separately Repeatedly arrange the combinations, and calculate the polarization similarity of each combination to obtain multiple polarization similarity values; select the smallest polarization similarity value as the generalized polarization similarity measurement result of the two targets to be measured.

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 normative scattering target.

As a further improvement of the present application, the polarization target coherence matrices of two targets to be measured are obtained respectively, including: when the target to be measured is a single target, the 2╳2 scattering matrix of the target to be measured is obtained, and the 2╳2 scattering matrix Convert to the polarization target coherence matrix of 3╳3; when the target to be measured is a distributed target, obtain the polarization coherence matrix or polarization covariance matrix of the target to be measured, and convert the polarization coherence matrix or polarization covariance matrix Convert to a 3╳3 polarization target coherence matrix; when the target to be measured is a normative scattering target, obtain the normative scattering matrix of the normative scattering target, and convert the normative scattering matrix into a 3╳3 polarized target coherence matrix.

As a further improvement of the present application, the decomposition of the first polarization target coherence matrix and the second polarization target coherence matrix are expressed as:

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 coherent matrix of the first polarized target, and k _j is the second decomposed component of the coherent matrix of the second polarized target.

As a further improvement of the present application, the first decomposition component and the second decomposition component are arranged and combined without repetition, and the polarization similarity of each combination is calculated. Before obtaining multiple polarization similarity values, it also includes: The first decomposed component and the second decomposed component are de-orientated to obtain the first decomposed component and the second decomposed component whose orientation angle is 0.

As a further improvement of the present application, 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, including: combining two polarizations The normalized eigenvalues of the target coherence matrix, respectively calculate 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 without repetition , and take the sum of all single polarization similarity values corresponding to each non-repeating permutation combination as the polarization similarity value of the non-repeating permutation combination.

As a further improvement of this application, the calculation formula for a single polarization similarity is:

Among them, s _ij represents the polarization similarity value between the i-th first decomposition component and the j-th second decomposition component,

Denotes the i-th first decomposition component after deorientation angle,

Indicates the jth second decomposition component after deorientation.

In order to solve the above technical problems, another technical solution adopted by the present application is to provide a generalized similarity measurement device for polarimetric radar, including: an acquisition module, which is used to respectively acquire the polarized target coherence matrices of two targets to be measured; The decomposition module is used to decompose the two polarized target coherence matrices respectively according to the preset decomposition rules to obtain the first decomposed component of the first polarized target coherent matrix and the second decomposed component of the second polarized target coherent matrix; The module is 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; the selection module is used to select the smallest polarization The similarity value is taken as the generalized polarization similarity measurement result of two targets to be measured.

In order to solve the above technical problems, another technical solution adopted by the present application is to provide a computer device, the computer device includes a processor, a memory coupled to the processor, and program instructions are stored in the memory, so When the program instructions are executed by the processor, the processor is made to execute the steps of the above-mentioned generalized similarity measurement method for polarimetric radar.

In order to solve the above-mentioned technical problems, another technical solution adopted by the present application is to provide a storage medium storing program instructions capable of implementing the above-mentioned generalized similarity measurement method for polarimetric radar.

The beneficial effects of the application are: the generalized similarity measurement method of the polarization radar of the application obtains the polarization target coherence matrix of the target to be measured, decomposes the polarization target coherence matrix, obtains the decomposed components, and then divides the two poles The decomposed components of the coherence matrix of the target are combined in pairs, and the polarization similarity value of each combination is calculated, and finally the smallest polarization similarity value is selected as the generalized polarization similarity measurement result of the two targets to be measured. This measurement process is no longer limited to fixed types of targets, but is applicable to targets that can convert matrix information into target coherence matrix information, which improves its versatility and is applicable to polarimetric SAR data processing and applications Stronger.

Description of drawings

FIG. 1 is a schematic flow chart of a generalized similarity measurement method for a polarimetric radar according to an embodiment of the present invention;

FIG. 2 is a schematic diagram of functional modules of a generalized similarity measurement device for a polarimetric radar according to an embodiment of the present invention;

Fig. 3 is a schematic structural diagram of a computer device according to an embodiment of the present invention;

FIG. 4 is a schematic structural diagram of a storage medium according to an embodiment of the present invention.

Detailed ways

The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

The terms "first", "second", and "third" in this application are used for descriptive purposes only, and cannot be understood as indicating or implying relative importance or implicitly specifying the quantity of indicated technical features. Thus, features defined as "first", "second", and "third" may explicitly or implicitly include at least one of these features. In the description of the present application, "plurality" means at least two, such as two, three, etc., unless otherwise specifically defined. All directional indications (such as up, down, left, right, front, back...) in the embodiments of the present application are only used to explain the relative positional relationship between the various components in a certain posture (as shown in the drawings) , sports conditions, etc., if the specific posture changes, the directional indication also changes accordingly. Furthermore, the terms "include" and "have", as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units is not limited to the listed steps or units, but optionally also includes unlisted steps or units, or optionally further includes For other steps or units inherent in these processes, methods, products or apparatuses.

Reference herein to an "embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the present application. The occurrences of this phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is understood explicitly and implicitly by those skilled in the art that the embodiments described herein can be combined with other embodiments.

FIG. 1 is a schematic flowchart of a generalized similarity measurement method for a polarimetric radar according to an embodiment of the present invention. It should be noted that the method of the present invention is not limited to the flow sequence shown in FIG. 1 if substantially the same result is obtained. As shown in Figure 1, the method includes steps:

Step S101: Obtain polarized target coherence matrices of two targets to be measured respectively.

It should be understood 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 normative scattering target. Among them, a single target refers to a certain target in the process of polarimetric radar detection, such as a house, a car, etc.; distributed target refers to all targets in a certain area in the process of polarimetric radar detection, such as all Buildings, vehicles, trees, etc.; normative scattering targets refer to targets detected in a specific way, in which normative scattering can be used to compare with target scattering, and target scattering classification can be realized according to the similarity between the two scattering.

Specifically, in this embodiment, in order to improve the applicability of the generalized similarity measurement method of the polarimetric radar, there is no limit to the target that needs to be measured for similarity, and only the coherence matrix of the polarized target needs to be obtained from the target to be measured That's it. It should be noted that, for better calculation, the embodiments of the present invention use the 3╳3 polarization coherence matrix as a unified expression of the target to be measured for calculation.

Therefore, step S101 specifically includes:

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.

2. When the target to be measured is a distributed target, obtain the polarization coherence matrix or polarization covariance matrix of the target to be measured, and convert the polarization coherence matrix or polarization covariance matrix into a 3╳3 polarization target coherence matrix.

3. When the target to be measured is a canonical scattering target, the canonical scattering matrix of the canonical scattering target is obtained, and the canonical scattering matrix is converted into a 3×3 polarized target coherence matrix.

Step S102: Decompose the two polarized target coherence matrices respectively according to preset decomposition rules to obtain a first decomposed component of the first polarized target coherent matrix and a second decomposed component of the second polarized target coherent matrix.

Specifically, after obtaining the polarization target coherence matrices of the two targets to be measured, the decomposition is performed according to a preset decomposition rule, and the preset decomposition rule is preferably a Cloude-Pottier rule. Moreover, given that the polarization target coherence matrix is a matrix of 3∕3, the number of its hierarchically decomposed components is three.

Wherein, the decomposition of the first polarized target coherence matrix and the second polarized target coherent matrix are respectively expressed as:

In this embodiment, the purpose of increasing the normalized eigenvalue of the polarization target coherence matrix is to fully reflect the proportion of each decomposition component in the original polarization target, so that the final calculated similarity measurement result has higher credibility Spend.

Step S103: 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.

Specifically, after the decomposed components are obtained by decomposing the polarization target coherence matrix, the decomposed components of the two polarization target coherence matrices are combined in pairs, and then the polarization similarity of each combination is calculated respectively.

It should be noted that, before step S103 , it also includes: performing de-orientation processing on the first decomposed component and the second decomposed component, respectively, to obtain the first decomposed component and the second decomposed component whose orientation angle is 0.

Specifically, in this embodiment, the first decomposition component is taken as an example for illustration, and the deorientation process is as follows:

Orientation angle

Calculated by the following formula:

The first decomposed component after deorientation

Expressed as:

in

is the rotation operator,

Further, step S103 specifically includes:

1. Combining the normalized eigenvalues of the two polarized target coherence matrices, calculate a single polarization similarity value between each first decomposed component and each second decomposed component, respectively.

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

Denotes the i-th first decomposition component after deorientation angle,

Indicates the jth second decomposition component after deorientation.

2. Perform non-repetitive permutation and combination of the first and second decomposition components, and use the sum of all single polarization similarity values corresponding to each non-repetitive permutation and combination as the polarization similarity value of the non-repetitive permutation and combination.

Specifically, in view of the fact that the number of decomposed components of each polarization target coherence matrix is 3, after performing non-repetitive permutation and combination, 6 combination results can be obtained, as follows:

1,

2,

3.

4.

5.

6.

Therefore, the corresponding polarization similarity is calculated for the above six combinations respectively, and the calculation formula is as follows:

GS ₁ =s ₁₁ +s ₂₂ +s ₃₃ ;

GS ₂ =s ₁₁ +s ₂₃ +s ₃₂ ;

GS ₃ =s ₁₂ +s ₂₁ +s ₃₃ ;

GS ₄ =s ₁₃ +s ₂₂ +s ₃₁ ;

GS ₅ =s ₁₃ +s ₂₁ +s ₃₂ ;

GS ₆ =s ₁₂ +s ₂₃ +s ₃₁ .

Step S1014: Select the smallest polarization similarity value as the generalized polarization similarity measurement result of the two targets to be measured.

Specifically, the generalized similarity GS(T ₁ ,T ₂ ) between two polarized target coherence matrices is calculated, and the calculation formula is as follows:

GS(T ₁ ,T ₂ )=min _1≤i≤6 {GS _i };

In this embodiment, the generalized similarity measurement result calculated by the above method satisfies the characteristics of rotation invariance, scale invariance and finiteness that all polarization similarities should satisfy, where:

1. Rotation invariance:

in

is any angle,

Denotes the T matrix by angle

perform a rotation transformation;

2. Scale invariance:

GS(T ₁ ,T ₂ )=GS(a ₁ T ₁ ,a ₂ T ₂ )

Where a ₁ and a ₂ are any complex numbers.

3. Limitation:

0≤GS(T ₁ ,T ₂ )≤1

if and only if there exists an angle

make

, GS(T ₁ , T ₂ )=1.

Therefore, the generalized similarity measurement method of the polarization radar in the embodiment of the present invention is applicable to any form of polarized targets, and thus also becomes the generalized polarization similarity.

The generalized similarity measurement method of the polarization radar in 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 the decomposed components, and then combines the two polarization target coherence matrices The decomposed components are combined in pairs, and the polarization similarity value of each combination is calculated, and finally the smallest polarization similarity value is selected as the generalized polarization similarity measurement result of the two targets to be measured. The measurement process is no longer It is limited to fixed types of targets, but is applicable to targets that can convert matrix information into target coherent matrix information, which improves its versatility and has stronger applicability in polarimetric SAR data processing and applications.

Fig. 2 is a schematic diagram of functional modules of a generalized similarity measurement device for a polarimetric radar according to an embodiment of the present invention. As shown in FIG. 2 , the device 20 includes an acquisition module 21 , a decomposition module 22 , a calculation module 23 and a selection module 24 .

An acquisition module 21, configured to acquire the polarization target coherence matrices of the two targets to be measured respectively;

The decomposition module 22 is configured to decompose the two polarization target coherence matrices respectively according to preset decomposition rules to obtain the first decomposition component of the first polarization target coherence matrix and the second decomposition component of the second polarization target coherence matrix;

A calculation module 23, configured to combine the first decomposed component and the second decomposed component without repeated arrangement, and calculate the polarization similarity of each combination to obtain multiple polarization similarity values;

The selection module 24 is configured to select the smallest polarization similarity value as the generalized polarization similarity measurement result of two targets to be measured.

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 normative scattering target.

Optionally, the obtaining module 21 executes the operation of obtaining the polarized target coherence matrices of the two targets to be measured respectively, specifically including: when the target to be measured is a single target, acquiring the 2╳2 scattering matrix of the target to be measured, and converting 2 ╳2 scattering matrix is converted into 3╳3 polarization target coherence matrix; when the target to be measured is a distributed target, obtain the polarization coherence matrix or polarization covariance matrix of the target to be measured, and convert the polarization coherence matrix or polar Transform the covariance matrix into a 3╳3 polarized target coherence matrix; when the target to be measured is a normative scattering target, obtain the normative scattering matrix of the normative scattering target, and convert the normative scattering matrix into a 3╳3 polarized target coherence matrix.

Optionally, the decomposition of the first polarization target coherence matrix and the second polarization target coherence matrix are respectively expressed as:

Optionally, before the computing module 23 executes the non-repetitive permutation and combination of the first decomposition component and the second decomposition component, and calculates the polarization similarity of each combination to obtain multiple polarization similarity values, it is also used : De-orientation processing is performed on the first decomposed component and the second decomposed component respectively, to obtain the first decomposed component and the second decomposed component whose orientation angle is 0.

Optionally, the computing module 23 executes the operation of combining the first decomposition component and the second decomposition component without repeated arrangement, and calculating the polarization similarity of each combination to obtain multiple polarization similarity values, specifically including: combining The normalized eigenvalues of the coherence matrices of the two polarized targets are used to calculate the single polarization similarity value between each first decomposed component and each second decomposed component respectively; the first decomposed component and the second decomposed component are Non-repetitive permutations and combinations, and the sum of all single polarization similarity values corresponding to each non-repetitive permutation combination is used as the polarization similarity value of the non-repetitive permutation combination.

Optionally, the formula for calculating the similarity of a single polarization is:

Denotes the i-th first decomposition component after deorientation angle,

Indicates the jth second decomposition component after deorientation.

For other details of implementing the technical solution of each module in the generalized similarity measurement device of the polarimetric radar in the above embodiment, refer to the description in the generalized similarity measurement method of the polarimetric radar in the above embodiment, which will not be repeated here.

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. For the same and similar parts in each embodiment, refer to each other. Can. As for the device-type embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and for related parts, please refer to part of the description of the method embodiments.

Please refer to FIG. 3 . FIG. 3 is a schematic structural diagram of a computer device according to an embodiment of the present invention. As shown in FIG. 3 , the computer device 60 includes a processor 61 and a memory 62 coupled to the processor 61. Program instructions are stored in the memory 62. When the program instructions are executed by the processor 61, the processor 61 performs any of the above-mentioned operations. The steps of the method for measuring the generalized similarity of the polarimetric radar described in the embodiment.

Wherein, the processor 61 may also be called a CPU (Central Processing Unit, central processing unit). The processor 61 may be an integrated circuit chip with signal processing capabilities. The processor 61 can 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 . A general-purpose processor may be a microprocessor, or the processor may be any conventional processor, or the like.

Referring to FIG. 3 , FIG. 3 is a schematic structural diagram of a storage medium according to an embodiment of the present invention. The storage medium in the embodiment of the present invention stores program instructions 71 capable of realizing all the above-mentioned methods, wherein the program instructions 71 can be stored in the above-mentioned storage medium in the form of software products, including several instructions to make a computer device (which can It is a personal computer, a server, or a network device, etc.) or a processor (processor) that executes all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage media include: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disk or optical disc, etc., which can store program codes. , or computer equipment such as computers, servers, mobile phones, and tablets.

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

In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, each unit may exist separately physically, or two or more units may be integrated into one unit. The above-mentioned integrated units can be implemented in the form of hardware or in the form of software functional units. The above is only the implementation mode of this application, and does not limit the scope of patents of this application. Any equivalent structure or equivalent process conversion made by using the contents of this application specification and drawings, or directly or indirectly used in other related technical fields, All are included in the scope of patent protection of the present application in the same way.

Claims

A generalized similarity measurement method for polarimetric radar, characterized in that it comprises:

Obtain the polarized target coherence matrices of the two targets to be measured respectively;

Decomposing the two polarized target coherence matrices respectively according to preset decomposition rules to obtain a first decomposed component of the first polarized target coherent matrix and a second decomposed component of the second polarized target coherent matrix;

performing non-repetitive permutation and combination of the first decomposed component and the second decomposed component, and calculating the polarization similarity of each combination to obtain multiple polarization similarity values;

The smallest polarization similarity value is selected as the generalized polarization similarity measurement result of the two targets to be measured.
The generalized similarity measurement method of polarized radar according to claim 1, wherein the two targets to be measured are single target and single target, single target and distributed target, distributed target and distributed target, One of a distributed target and a canonical scatter target.
The generalized similarity measurement method of polarimetric radar according to claim 2, wherein said acquisition of the polarimetric target coherence matrices of two targets to be measured respectively comprises:

When the target to be measured is the single target, obtain a 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;

When the target to be measured is the distributed target, obtain the polarization coherence matrix or the polarization covariance matrix of the target to be measured, and convert the polarization coherence matrix or the polarization covariance matrix into 3× 3 polarization target coherence matrix;

When the target to be measured is the canonical scattering target, a canonical scattering matrix of the canonical scattering target is obtained, and the canonical scattering matrix is converted into a 3╳3 polarized target coherence matrix.
The generalized similarity measurement method of polarized radar according to claim 1, wherein the decomposition of the first polarized target coherence matrix and the second polarized target coherent matrix are respectively expressed as:

Wherein, T 1 is the coherent matrix of the first polarized target, T 2 is the coherent matrix of the second polarized target, det represents the determinant of the matrix, p i is the normalization of the coherent matrix of the first polarized target eigenvalue, qj is the normalized eigenvalue of the second polarization target coherence matrix, and satisfies:
e i is the first decomposition component of the first polarization target coherence matrix, and kj is the second decomposition component of the second polarization target coherence matrix.
The generalized similarity measurement method of polarimetric radar according to claim 4, wherein the first decomposed component and the second decomposed component are not repeatedly arranged and combined, and the polarity of each combination is calculated. Before obtaining multiple polarization similarity values, it also includes:

Deorientation processing is performed on the first decomposed component and the second decomposed component respectively to obtain the first decomposed component and the second decomposed component with an orientation angle of 0.
The generalized similarity measurement method of polarimetric radar according to claim 5, wherein the first decomposed component and the second decomposed component are not repeatedly arranged and combined, and the polarity of each combination is calculated. polarized similarity to obtain multiple polarized similarity values, including:

Combining the normalized eigenvalues of the two polarized target coherence matrices, calculating a single polarization similarity value between each first decomposed component and each second decomposed component, respectively;

Perform non-repetitive permutation and combination of the first decomposed component and the second decomposed component, and use the sum of all single polarization similarity values corresponding to each non-repetitive permutation and combination as the polarization similarity of the non-repetitive permutation and combination sexual value.
The generalized similarity measurement method of polarization radar according to claim 6, wherein the calculation formula of the single polarization similarity is:

Among them, s ij represents the polarization similarity value between the i-th first decomposition component and the j-th second decomposition component,
Denotes the i-th first decomposition component after deorientation angle,
Indicates the jth second decomposition component after deorientation.
A generalized similarity measurement device for polarimetric radar, characterized in that it comprises:

An acquisition module, configured to respectively acquire the polarization target coherence matrices of the two targets to be measured;

The decomposition module is used to decompose the two polarized target coherence matrices respectively according to preset decomposition rules to obtain the first decomposed component of the first polarized target coherent matrix and the second decomposed component of the second polarized target coherent matrix;

A calculation module, configured to arrange and combine the first decomposed component and the second decomposed component without repeated arrangement, and calculate the polarization similarity of each combination to obtain multiple polarization similarity values;

The selection module is configured to select the smallest polarization similarity value as the generalized polarization similarity measurement result of the two targets to be measured.
A computer device, characterized in that the computer device includes a processor and a memory coupled to the processor, and program instructions are stored in the memory, and when the program instructions are executed by the processor, the Said processor executes the steps of the generalized similarity measurement method for polarized radar according to any one of claims 1-7.
A storage medium, characterized in that it stores program instructions capable of implementing the generalized similarity measurement method for polarimetric radar according to any one of claims 1-7.