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Ground Covert Target Detection Method Based on Generalized Gaussian Distribution Model

A Gaussian distribution model and hidden target technology, applied in the field of UWBSAR, can solve the problems of increasing the amount of calculation, not being able to balance the amount of calculation and estimation accuracy, and achieve the effect of enhancing the detection performance

Active Publication Date: 2019-05-31
NAT UNIV OF DEFENSE TECH
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Problems solved by technology

The accuracy of GGD model parameter estimation directly affects the use efficiency of GGD model. The existing GGD model parameter estimation methods are roughly Mallat method, maximum likelihood estimation method and entropy matching method, etc., but the above methods cannot take into account the calculation well. In order to obtain the ideal estimation accuracy, the amount of calculation must be greatly increased, which makes the GGD model encounter a bottleneck in practical applications.

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  • Ground Covert Target Detection Method Based on Generalized Gaussian Distribution Model
  • Ground Covert Target Detection Method Based on Generalized Gaussian Distribution Model
  • Ground Covert Target Detection Method Based on Generalized Gaussian Distribution Model

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Embodiment Construction

[0020] figure 1 It is a flowchart of the present invention, and the specific implementation steps are as follows:

[0021] Construct a log ratio image based on the original UWB SAR image, use the GGD model to perform statistical modeling on the obtained log ratio image, and use the logarithmic cumulant to estimate the parameters of the GGD model: specifically include the following four steps:

[0022] In the first step, the logarithmic ratio image x is constructed based on the original UWB SAR image, and its specific calculation method is shown in formula 1:

[0023] x=log(t 1 )-log(t 2 ) (Formula 1)

[0024] The original UWB SAR image includes any two images t obtained in the scene to be detected 1 and t 2 .

[0025] In the second step, the mean μ and image standard deviation σ of the log ratio image are calculated; then the log ratio image is normalized according to formula 2.

[0026] y=(x-μ) / σ (Formula 2)

[0027] where y represents the normalized log-ratio image. ...

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Abstract

The present invention provides a ground hidden target detection method based on a GGD (generalized Gaussian distribution) model. The technical scheme is as follows: a logarithmic ratio image is constructed based on an original UWB SAR image, the logarithmic ratio image is used to carry out statistical modeling by using the GGD model and a first-order logarithmic cumulant to estimate the parameters of the GGD model, a CFAR detection threshold is calculated according to the estimation value of the GGD model parameters, and the CFAR detection is used to realize the detection of a ground hidden target in the UWB SAR image. According to the method, the accurate estimation of shape parameters in the GGD model can be realized, the setting of additional parameters or conditions is not needed, and the method is simple and is easy to implement.

Description

technical field [0001] The invention belongs to the technical field of UWB SAR (Ultra-Wide Band Synthetic Aperture Radar, Ultra-Wide Band Synthetic Aperture Radar), and relates to a ground concealed target detection method based on a GGD (Generalized Gaussian Distribution, generalized Gaussian distribution) model. Background technique [0002] Since ordinary optical radar systems and SAR systems cannot effectively detect hidden targets on the ground covered by leaf clusters, hiding military targets in the forest has become an important means to effectively avoid enemy detection. UWB SAR is a new type of active microwave imaging system with unique application value produced by the combination of UWB technology and SAR. This system not only has the characteristics of traditional SAR all-day and all-weather imaging, but also has good leaf cluster penetration. , which makes the system have unique advantages in ground covert target detection (references: M. Lundberg, R. Ulander, ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S13/88G01S13/90
CPCG01S13/887G01S13/904G01S13/9027
Inventor 高贵欧阳克威周石琳高昇李高升何鹃牟卫华刘伟程江华
Owner NAT UNIV OF DEFENSE TECH