Sparse regularization SAR (Synthetic Aperture Radar) image side-lobe suppression method based on log measurement

A side lobe suppression and image technology, which is applied to measurement devices, radio wave measurement systems, and radio wave reflection/re-radiation, etc., can solve the problem of high side lobe values ​​in SAR images, and achieve significant side lobe suppression effects and algorithm complexity. Low, simple step effect

Inactive Publication Date: 2018-03-06
NAT UNIV OF DEFENSE TECH
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[0006] In order to solve the problem of high side lobe value of SAR image, the present invention provid

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  • Sparse regularization SAR (Synthetic Aperture Radar) image side-lobe suppression method based on log measurement
  • Sparse regularization SAR (Synthetic Aperture Radar) image side-lobe suppression method based on log measurement
  • Sparse regularization SAR (Synthetic Aperture Radar) image side-lobe suppression method based on log measurement

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[0024] The radar image sidelobe suppression method provided by the present invention will be described in detail below in conjunction with the accompanying drawings.

[0025] figure 1 It is a schematic diagram of the principle of the radar image sidelobe suppression method provided by the present invention. The first step in this figure is to build a sparse representation model in the SAR image domain data. The second step is to use the log function to measure the sparsity of the SAR image domain data according to the sparse reconstruction theory and the regularization theory, and establish the corresponding optimization objective function; the third step is to reconstruct the sparse regularization based on the log sparse measure. The fourth step is to use the Newton iterative method, set the initial value of the iteration, and obtain the resolution-preserving SAR image after sidelobe suppression.

[0026] Figure 2 to Figure 7 It is the processing result of the simulation ...

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Abstract

The invention provides an SAR (Synthetic Aperture Radar) image resolution-maintaining side-lobe suppression method. According to the technical scheme, optimization processing is performed on an SAR image by using a Newton iteration method to obtain a reconstructed SAR image f^, wherein the optimization objective function is shown in the description. In the formulas shown in the description, y represents SAR image data, and f represents the SAR image to be reconstructed; [lambda] represents a regularization parameter which is generally determined according to an empirical value; k is a very small positive constant, and a is greater than 1 and determined according to an empirical value; and log(1+abs(f)<2>/k) in the formula is used for measuring the sparsity of a vector f to be reconstructed. The method provided by the invention is very simple in step and can be directly used for performing resolution-maintaining side-lobe suppression processing on SAR image domain data.

Description

technical field [0001] The present invention relates to the technical field of radar image processing, more specifically, to a SAR (synthetic aperture radar, synthetic aperture radar) image resolution-preserving sidelobe suppression method for a region of interest. Background technique [0002] The sidelobe level of the SAR image directly affects the subsequent interpretability of the SAR image. The higher the sidelobe value of the SAR image, the higher the probability of target loss and false alarm, which is very unfavorable for target interpretation and feature extraction. [0003] PSLR (peak side-lobe ratio, peak side lobe ratio) and ISLR (integrated side-loberatio, integral side lobe ratio) are two important parameters used to measure the level of side lobes. The size of PSLR reflects the ability of strong target points to cover nearby target points in the SAR image, and represents the detection ability of the system for weak targets; the size of ISLR reflects the degree...

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Application Information

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IPC IPC(8): G01S7/36G01S13/90
CPCG01S7/36G01S13/9094G01S13/904
Inventor 何峰朱小祥董臻金光虎孙造宇张永胜黄海风余安喜何志华张启雷
Owner NAT UNIV OF DEFENSE TECH
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