Comprehensive aperture radiometer target detection method and device based on uniform background matching estimation and medium

Abstract

The invention provides a synthetic aperture radiometer target detection method and device based on uniform background matching estimation, and a medium. The method comprises the following steps: measuring and obtaining a synthetic aperture radiometer system response matrix; simulating and generating K different radiation brightness temperature distribution image sequences in a uniform background environment; calculating simulation measurement data of the synthetic aperture radiometer system under different radiation brightness temperature distributions in the uniform background environment; measuring an actual observation scene by using a synthetic aperture radiometer system; according to the actual measurement data and the simulation measurement data, measurement data under different radiation brightness temperature distribution assumptions in the background environment are obtained through calculation; solving a target inversion detection image sequence under different radiation brightness temperature distribution assumptions in a background environment based on the visibility function; and calculating an image entropy value of the target inversion detection image sequence and determining a target inversion detection result. According to the method provided by the invention, the influence of inversion imaging on the target detection performance is reduced, and the target detection capability of the synthetic aperture radiometer system is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of microwave radiation passive imaging detection, and in particular to a synthetic aperture radiometer target detection method, device and medium based on uniform background matching estimation. Background Art

[0002] A synthetic aperture radiometer is a passive imaging system that uses multiple small-aperture antennas to form a certain form of sparse aperture array. It receives the thermal radiation signals generated by the objects in the measurement scene and performs pairwise interference processing to obtain the imaging result equivalent to that of a large-aperture antenna on the observation scene.

[0003] Specifically, the synthetic aperture radiometer system can realize the inversion imaging of the observed scene; based on the inversion imaging results, the image processing methods such as preprocessing, filtering, segmentation detection, etc. are used to effectively detect the target of interest from the image. However, the existing synthetic aperture array target detection method has a complex processing flow, and the detection performance depends on the inversion imaging quality. Summary of the invention

[0004] The present invention aims to solve at least one of the above-mentioned technical problems existing in the prior art.

[0005] To this end, a first aspect of the present invention provides a synthetic aperture radiometer target detection method based on uniform background matching estimation.

[0006] A second aspect of the present invention provides a computer device.

[0007] A third aspect of the present invention provides a computer-readable storage medium.

[0008] The present invention provides a synthetic aperture radiometer target detection method based on uniform background matching estimation, comprising:

[0009] Measure and obtain the response matrix of the synthetic aperture radiometer system;

[0010] Simulate and generate K different radiation brightness temperature distribution image sequences under uniform background environment;

[0011] According to the response matrix of the synthetic aperture radiometer system and the K different radiation brightness temperature distribution image sequences of the uniform background environment generated by simulation, the simulated measurement data of the synthetic aperture radiometer system under different radiation brightness temperature distributions of the uniform background environment are calculated;

[0012] Use the synthetic aperture radiometer system to measure the actual observation scene and obtain actual measurement data;

[0013] According to the actual measurement data and the simulated measurement data, the measurement data under different radiation brightness temperature distribution assumptions of the background environment are calculated;

[0014] Based on the visibility function, the target inversion detection image sequence under the assumption of different radiation brightness temperature distribution of the background environment is obtained by solving the measurement data under the assumption of different radiation brightness temperature distribution of the background environment;

[0015] The image entropy value of the target inversion detection image sequence is calculated, and the target inversion detection result is determined according to the image entropy value calculation result.

[0016] The synthetic aperture radiometer target detection method based on uniform background matching estimation according to the above technical solution of the present invention may also have the following additional technical features:

[0017] In the above technical solution, the measurement and acquisition of the response matrix of the synthetic aperture radiometer system includes:

[0018] The signal source is used to measure the response matrix G∈R of the synthetic aperture radiometer system by external radiation. m*n , m represents the number of interferometric baselines of the synthetic aperture radiometer system, and n represents the number of pixels of the inverted image.

[0019] In the above technical solution, when using a signal source to measure the response matrix of a synthetic aperture radiometer system, the placement of the signal source needs to match the system observation application.

[0020] In the above technical solution, the calculation to obtain the simulated measurement data of the synthetic aperture radiometer system under different radiation brightness temperature distributions in a uniform background environment includes:

[0021] V0=G·T′ 背景 =[G·T′ 背景1 G.T′ 背景2 ...G·T′ 背景K ]∈R m*K

[0022] Where V0 represents the simulated measurement data; T′ 背景 Represents a sequence of K different radiation brightness temperature distribution images of a uniform background environment generated by simulation.

[0023] In the above technical solution, the calculation of the measurement data under different assumptions of radiation brightness temperature distribution in the background environment based on the actual measurement data and the simulated measurement data includes:

[0024] V′=V-V0=[VG·T′ 背景1 VG·T′ 背景2 ...VG·T′ 背景K ]∈R m*K

[0025] Wherein, V′ represents the measurement data under the assumption of different radiation brightness temperature distribution in the background environment; V represents the actual measurement data obtained by measuring the actual observation scene using the synthetic aperture radiometer system.

[0026] In the above technical solution, the visibility function-based method is used to solve the target inversion detection image sequence under the assumption of different radiation brightness temperature distribution of the background environment according to the measurement data under the assumption of different radiation brightness temperature distribution of the background environment, including:

[0027]

[0028] Where T′(ξ,η) represents the brightness temperature distribution of the observed scene; represents the direction cosine of the incident electromagnetic wave, that is, the projection of the incident direction of the electromagnetic wave in two orthogonal directions; p and q represent the baseline of the system in two orthogonal directions; (u p ,v q ) represents the distance vector between the two antenna elements in units of wavelength; V pq Indicates that the system is in the vector (u p ,v q ) at the interferometric measurement result;

[0029] Substitute the measured data V′ under different background radiation brightness temperature distribution assumptions into V pq , calculate the brightness temperature distribution T′(ξ,η) of the observed scene, that is, the target inversion detection image sequence T′ under the assumption of different radiation brightness temperature distribution of the background environment 检测 ∈R n*k .

[0030] In the above technical solution, the step of calculating the image entropy value of the target inversion detection image sequence includes:

[0031]

[0032] Among them, H k Represents the kth target inversion detection image T′ 检测k Entropy value, k = 1, 2, ..., K; u k (i) represents the kth target inversion detection image T′ 检测k The value of pixel i in , i = 1, 2, …n.

[0033] In the above technical solution, the step of determining the target inversion detection result according to the image entropy value calculation result includes:

[0034] The target inversion detection image corresponding to the minimum value in the image entropy value calculation results is selected as the target inversion detection result.

[0035] The present invention also provides a computer device, including a processor and a memory, wherein the memory stores a computer program, and when the computer program is loaded and executed by the processor, the synthetic aperture radiometer target detection method based on uniform background matching estimation as described in any of the above technical solutions is implemented.

[0036] The present invention further provides a computer-readable storage medium, characterized in that a program is stored therein, and when the program is loaded by a processor, the synthetic aperture radiometer target detection method based on uniform background matching estimation as described in any of the above technical solutions is implemented.

[0037] In summary, due to the adoption of the above technical features, the beneficial effects of the present invention are:

[0038] The existing synthetic aperture array target detection methods are usually based on the idea of ​​imaging first and then detecting. The synthetic aperture array inversion detection method proposed in the present invention can realize the direct inversion from measurement data to target detection results. Compared with the existing methods, the method proposed in the present invention simplifies the target detection processing flow, reduces the impact of inversion imaging on target detection performance, improves the target detection capability of the synthetic aperture radiometer system, and is easy to implement in engineering.

[0039] Additional aspects and advantages of the present invention will become apparent from the following description or may be learned by practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] The above and / or additional aspects and advantages of the present invention will become apparent and easily understood from the description of the embodiments in conjunction with the following drawings, in which:

[0041] Figure 1 It is a schematic diagram of observation of a synthetic aperture radiometer in a synthetic aperture radiometer target detection method based on uniform background matching estimation according to an embodiment of the present invention;

[0042] Figure 2 It is a schematic diagram of simulation results of radiation brightness temperature distribution of an observation scene in a synthetic aperture radiometer target detection method based on uniform background matching estimation according to an embodiment of the present invention;

[0043] Figure 3 It is a schematic diagram of the distribution of the array antennas of the comprehensive aperture radiometer in the comprehensive aperture radiometer target detection method based on uniform background matching estimation according to an embodiment of the present invention;

[0044] Figure 4 is a schematic diagram of a target detection result obtained based on a traditional target detection method in one embodiment of the present invention;

[0045] Figure 5is a schematic diagram of a result of searching and matching background radiation brightness temperature using information entropy based on the method of the present invention in one embodiment of the present invention;

[0046] Figure 6 It is a schematic diagram of a target detection result obtained based on the detection method of the present invention in one embodiment of the present invention. DETAILED DESCRIPTION

[0047] In order to more clearly understand the above-mentioned purpose, features and advantages of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that the embodiments of the present application and the features in the embodiments can be combined with each other without conflict.

[0048] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited to the specific embodiments disclosed below.

[0049] Refer to the following Figures 1 to 6 The synthetic aperture radiometer target detection method based on uniform background matching estimation provided according to some embodiments of the present invention is described.

[0050] like Figure 1 In the measurement scenario shown, assuming that the antenna array of the synthetic aperture radiometer system is located in the same plane, the system measurement output V (also called visibility function) is expressed as:

[0051]

[0052] in, u=(x i -x j ) / λ,v=(y i -y j ) / λ,(x i ,y i )、(x j ,y j ) are the position coordinates of the array elements i and j of the synthetic aperture radiometer system, T′(ξ,η) is the brightness temperature distribution of the observed scene, N e Measuring noise for a synthetic aperture radiometer system.

[0053] Use correlated and non-correlated radiation sources to complete the system amplitude and phase error and measurement noise N e After correction, the brightness temperature distribution of the measured scene can be obtained by performing inverse Fourier transform on the measurement data of the synthetic aperture radiometer system, that is:

[0054]

[0055] In practical applications, the number of system array antennas and the measurement baseline (u, v) they constitute are limited, so the above formula can be simplified to:

[0056]

[0057] Wherein, p and q represent the baselines formed by the system in two orthogonal directions (illustrated as x and y directions in a three-dimensional coordinate system in the present disclosure).

[0058] Based on the above theory, the applicant's creative thinking was triggered, and the research found that in order to solve the problem that the existing target detection method has a complex process and the detection performance is limited by the quality of the inverted image, it is necessary to realize the direct inversion from the comprehensive aperture array observation data to the target detection results.

[0059] In view of the above problems, the present disclosure proposes the following contents:

[0060] According to the visibility function, the observation equation of the synthetic aperture radiometer system after correction can be expressed in the following matrix form:

[0061] V=G·T

[0062] Where V = [V(1),…,V(m)] T ∈R m*1 is the observation data vector of the synthetic aperture radiometer system, m represents the interferometric baseline number of the synthetic aperture radiometer system, T=[T(1),…,T(n)] T ∈R n*1 is the observed scene radiation brightness temperature distribution, n represents the number of pixels in the inversion image, G∈R m*n is the response matrix of the comprehensive aperture radiometer system, and its specific expression is as follows:

[0063]

[0064] For the observed scene radiation brightness temperature distribution T, it can be expressed as the target radiation brightness temperature distribution T 目标 and ambient background radiation brightness temperature distribution T 背景 The sum is:

[0065] T=T 目标 +T 背景

[0066] If the ambient background radiation brightness temperature distribution Tbackground is known, then:

[0067] V-V0=G·(T 目标 +T 背景 )-G.T 背景 =G·T 目标

[0068] Among them, V is the measurement data of the actual observation scene by the synthetic aperture radiometer system, and V0 is the measurement data generated by the synthetic aperture radiometer system for the background environment simulation of the observation scene.

[0069] It can be seen that the (V-V0) data can be used to directly invert and reconstruct the target image in the observation scene, that is, the image result after target detection. Therefore, the key point of the disclosed method is how to accurately realize the background environment radiation brightness temperature distribution T of the observation scene. 背景 Estimation of (the response G of the synthetic aperture radiometer system can be measured).

[0070] For the background brightness temperature distribution T of the observed scene 背景 The estimation adopts the search matching method to calculate the brightness temperature distribution T′ of different background environments 背景 The corresponding target detection image entropy value is 背景 Compared with the actual observation scene background environment brightness temperature distribution T 背景 When matching, the corresponding target detection image has the smallest entropy value, and the target detection image corresponding to the minimum entropy value is selected as the target inversion detection result.

[0071] Based on the above content, the first embodiment of the present invention proposes a synthetic aperture radiometer target detection method based on uniform background matching estimation, including the following steps S1-S7.

[0072] S1. Measure and obtain the response matrix of the synthetic aperture radiometer system.

[0073] In some embodiments, the signal source is used to measure and obtain the response matrix G∈R of the comprehensive aperture radiometer system by external radiation. m*n , m represents the number of interferometric baselines of the synthetic aperture radiometer system, and n represents the number of pixels of the inverted image.

[0074] It should be noted that when using a signal source to measure the response matrix of a synthetic aperture radiometer system, the placement of the signal source needs to match the system observation application. Specifically, if the synthetic aperture radiometer system observes the far-field area, the signal source needs to be placed in the far-field of the system for radiation; if the synthetic aperture radiometer system observes the near-range area, the signal source needs to be placed in the near-range of the system for radiation. The process of using a signal source to measure the response matrix G of a synthetic aperture radiometer system is now relatively mature and will not be repeated here.

[0075] S2. Simulate and generate K different radiation brightness temperature distribution image sequences T′ under uniform background environment 背景 =[T′ 背景1 T′ 背景2 ...T′ 背景K ]∈R n*K ;

[0076] Among them, T′背景1 =[T′ 背景1 (1),...,T′ 背景1 (n)] T ∈R n*1 It should be noted that, in the present disclosure, the superscript T represents a transposed matrix.

[0077] In the present disclosure, it is assumed that the background environment radiation brightness temperature distribution obeys a uniform distribution.

[0078] S3. According to the response matrix of the comprehensive aperture radiometer system and the K different radiation brightness temperature distribution image sequences of the uniform background environment generated by simulation, the simulated measurement data of the comprehensive aperture radiometer system under different radiation brightness temperature distributions of the uniform background environment are calculated and obtained.

[0079] Specifically, step S3 includes:

[0080] V0=G·T′ 背景 =[G·T′ 背景1 G.T′ 背景2 ...G·T′ 背景K ]∈R m*K

[0081] Where V0 represents the simulated measurement data; T′ 背景 Represents a sequence of K different radiation brightness temperature distribution images of a uniform background environment generated by simulation.

[0082] S4. Use the synthetic aperture radiometer system to measure the actual observation scene and obtain the actual measurement data V = [V(1),…,V(m)] T ∈R m*1 .

[0083] S5. According to the actual measurement data and the simulated measurement data, the measurement data under different assumptions of radiation brightness temperature distribution in the background environment are calculated.

[0084] In some embodiments, step S5 includes:

[0085] V′=V-V0=[VG·T′ 背景1 VG·T′ 背景2 ...VG·T′ 背景K ]∈R m*K

[0086] Wherein, V′ represents the measurement data under the assumption of different radiation brightness temperature distribution in the background environment; V represents the actual measurement data obtained by measuring the actual observation scene using the synthetic aperture radiometer system.

[0087] S6. Based on the visibility function, solving the measurement data under the assumption of different radiation brightness temperature distribution of the background environment to obtain a target inversion detection image sequence under the assumption of different radiation brightness temperature distribution of the background environment.

[0088] In a specific embodiment, step S6 includes:

[0089]

[0090] Where T′(ξ,η) represents the brightness temperature distribution of the observed scene; represents the direction cosine of the incident electromagnetic wave, that is, the projection of the incident direction of the electromagnetic wave in two orthogonal directions; p and q represent the baseline of the system in two orthogonal directions; (u p ,v q ) represents the distance vector between the two antenna elements in units of wavelength; V pq Indicates that the system is in the vector (u p ,v q ) at the interferometric measurement result;

[0091] Substitute the measured data V′ under different background radiation brightness temperature distribution assumptions into V pq , calculate the brightness temperature distribution T′(ζ,η) of the observed scene, that is, the target inversion detection image sequence T′ under the assumption of different radiation brightness temperature distribution of the background environment 检测 ∈R n*K .

[0092] S7, calculating the image entropy value of the target inversion detection image sequence, and determining the target inversion detection result according to the image entropy value calculation result.

[0093] In some embodiments, the calculating the image entropy value of the target inversion detection image sequence includes:

[0094]

[0095] Among them, H k Represents the kth target inversion detection image T′ 检测k Entropy value, k = 1, 2, ..., K; u k (i) represents the kth target inversion detection image T′ 检测k The value of pixel i in , i = 1, 2, …n.

[0096] In a specific embodiment, after the above entropy value calculation, the target inversion detection image corresponding to the minimum value in the image entropy value calculation result is selected as the target inversion detection result.

[0097] In a specific embodiment, Figure 2The simulation results of the radiation brightness temperature distribution of the observation scene are given, in which the background environment brightness temperature is set to a uniform background of 300K, the center positions (ξ,η) of the five targets are set to (-0.01289, -0.0125), (-0.01289, 0), (0, 0.0125), (0.01211, -0.0125), (0.01211, 0), and the radiation brightness temperature of the five targets is set to 80K.

[0098] Figure 3 The antenna array distribution diagram of the synthetic aperture radiometer system is given. The synthetic aperture radiometer system adopts a Y-shaped array arrangement, with 33 array element antennas and an array element spacing of 20λ.

[0099] Figure 4 Given based on Figure 3 The synthetic aperture array shown in the figure uses the traditional method to Figure 2 The target inversion detection processing results of the observation scene shown in the figure. Figure 4 It can be seen that although the existing method can realize the inversion detection of 5 targets, the center positions of the detected targets (ξ,η) are (-0.01328, -0.01289), (-0.01328, 0), (-0.00078, 0.01172), (0.01172, -0.01289), (0.01211, -0.00039) respectively, but there is a certain position deviation between the target detection position and the target initial position, and there is a deviation between the target detection contour and the actual target contour.

[0100] Figure 5 The results of searching and matching the background radiation brightness temperature using information entropy are given. Figure 5 It can be seen that when the background radiation brightness temperature search value gradually approaches the background radiation brightness temperature value of the actual observation scene (300K), the entropy value of the corresponding target inversion detection image gradually decreases. When the background radiation brightness temperature search value coincides with the background radiation brightness temperature value of the actual observation scene (300K), the entropy value of the corresponding target inversion detection image is the smallest. The target inversion detection result at this time is as follows: Figure 6 As shown. Figure 6 It can be seen that the disclosed method can accurately realize the inversion detection of 5 targets. The center positions (ξ, η) of the detected targets are (-0.01289, -0.0125), (-0.01289, 0), (0, 0.0125), (0.01211, -0.0125), and (0.01211, 0), respectively, which are consistent with the initial positions of the targets. Only a small deviation exists between the target contour and the actual target. Compared with the existing target detection methods, the disclosed method has good inversion detection performance, which verifies the effectiveness of the disclosed method.

[0101] Some other embodiments of the present invention provide a computer device, including a processor and a memory, wherein the memory stores a computer program, and when the computer program is loaded and executed by the processor, the synthetic aperture radiometer target detection method based on uniform background matching estimation as described in any of the above embodiments is implemented.

[0102] Some further embodiments of the present invention provide a computer-readable storage medium, characterized in that a program is stored therein, and when the program is loaded by a processor, the synthetic aperture radiometer target detection method based on uniform background matching estimation as described in any of the above embodiments is implemented.

[0103] In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0104] Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A synthetic aperture radiometer target detection method based on uniform background matching estimation, characterized in that: include: Measure and obtain the response matrix of the synthetic aperture radiometer system; Simulate and generate K different radiation brightness temperature distribution image sequences under uniform background environment; According to the response matrix of the synthetic aperture radiometer system and the K different radiation brightness temperature distribution image sequences of the uniform background environment generated by simulation, the simulated measurement data of the synthetic aperture radiometer system under different radiation brightness temperature distributions of the uniform background environment are calculated and obtained; Use the synthetic aperture radiometer system to measure the actual observation scene and obtain actual measurement data; According to the actual measurement data and the simulated measurement data, the measurement data under different radiation brightness temperature distribution assumptions of the background environment are calculated; Based on the visibility function, the target inversion detection image sequence under the assumption of different radiation brightness temperature distribution of the background environment is obtained by solving the measurement data under the assumption of different radiation brightness temperature distribution of the background environment; The image entropy value of the target inversion detection image sequence is calculated, and the target inversion detection result is determined according to the image entropy value calculation result.

2. The method for target detection using a synthetic aperture radiometer based on uniform background matching estimation according to claim 1, characterized in that: The measurement obtains the response matrix of the synthetic aperture radiometer system, including: The signal source is used to measure the response matrix G∈R of the synthetic aperture radiometer system by external radiation. m*n , m represents the number of interferometric baselines of the synthetic aperture radiometer system, and n represents the number of pixels of the inverted image.

3. The method for target detection using a synthetic aperture radiometer based on uniform background matching estimation according to claim 2, characterized in that: When using a signal source to measure the response matrix of a synthetic aperture radiometer system, the signal source placement must match the system observation application.

4. The method for target detection using a synthetic aperture radiometer based on uniform background matching estimation according to claim 2, characterized in that: The calculation to obtain simulated measurement data of the synthetic aperture radiometer system under different radiation brightness temperature distributions in a uniform background environment includes: V0=G·T′ 背景 =[G·T′ 背景1 G·T′ 背景2 ...G·T′ 背景K ]∈R m*K Where V0 represents the simulated measurement data; T′ 背景 Represents a sequence of K different radiation brightness temperature distribution images of a uniform background environment generated by simulation.

5. The method for target detection using a synthetic aperture radiometer based on uniform background matching estimation according to claim 4, characterized in that: The step of calculating the measurement data under different assumptions of radiation brightness temperature distribution in the background environment according to the actual measurement data and the simulated measurement data includes: V′=V-V0=[VG·T′ 背景1 VG·T′ 背景2 ...VG·T′ 背景K ]∈R m*K Wherein, V′ represents the measurement data under the assumption of different radiation brightness temperature distribution in the background environment; V represents the actual measurement data obtained by measuring the actual observation scene using the synthetic aperture radiometer system.

6. The method for target detection using a synthetic aperture radiometer based on uniform background matching estimation according to claim 5, characterized in that: The method of solving the target inversion detection image sequence under the assumption of different radiation brightness temperature distribution of the background environment based on the visibility function according to the measurement data under the assumption of different radiation brightness temperature distribution of the background environment includes: Where T′(ξ,η) represents the brightness temperature distribution of the observed scene; represents the direction cosine of the incident electromagnetic wave, that is, the projection of the incident direction of the electromagnetic wave in two orthogonal directions; p and q represent the baseline of the system in two orthogonal directions; (u p ,v q ) represents the distance vector between the two antenna elements in units of wavelength; V pq Indicates that the system is in the vector (u p ,v q ) at the interferometric measurement result; The measured data V under different background environment radiation brightness temperature distribution assumptions ′ Substitute V pq , calculate the brightness temperature distribution T of the observed scene ′ (ξ,η), that is, the target inversion detection image sequence T′ under the assumption of different background environment radiation brightness temperature distribution 检测 ∈R n*K .

7. The method for target detection using a synthetic aperture radiometer based on uniform background matching estimation according to claim 6, characterized in that: The calculating the image entropy value of the target inversion detection image sequence comprises: Among them, H k Represents the kth target inversion detection image T′ 检测k Entropy value, k = 1, 2, ..., K; u k (i) represents the kth target inversion detection image T′ 检测k The value of pixel i in , i = 1, 2, …n.

8. The method for target detection using a synthetic aperture radiometer based on uniform background matching estimation according to claim 1, characterized in that: The step of determining the target inversion detection result according to the image entropy value calculation result comprises: The target inversion detection image corresponding to the minimum value in the image entropy value calculation results is selected as the target inversion detection result.

9. A computer device, characterized in that: The invention comprises a processor and a memory, wherein a computer program is stored in the memory, and when the computer program is loaded and executed by the processor, the synthetic aperture radiometer target detection method based on uniform background matching estimation as described in any one of claims 1 to 8 is implemented.

10. A computer-readable storage medium, characterized in that: A program is stored, and when the program is loaded by a processor, the synthetic aperture radiometer target detection method based on uniform background matching estimation as described in any one of claims 1 to 8 is implemented.

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