A Sparse-Driven SAR Image Reconstruction Regularization Parameter Automatic Selection Method

A technology of image reconstruction and automatic selection, applied in image data processing, image enhancement, image analysis and other directions, can solve the problem that the curve corner position is not easy to calculate, and achieve the effect of small calculation amount

Inactive Publication Date: 2018-06-12
SOUTHWEAT UNIV OF SCI & TECH
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Problems solved by technology

Although it seems intuitive and simple, the L The calculation of the corner position of the curve is not easy

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  • A Sparse-Driven SAR Image Reconstruction Regularization Parameter Automatic Selection Method

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Embodiment Construction

[0047] In order to make it easy to understand the technical means, creative features, work flow, and use methods of the present invention to achieve the purpose and effect, the following is attached in conjunction with the description figure 1 The present invention is further described.

[0048] The present invention determines the optimization algorithm steps of sparsely driven SAR image reconstruction regularization parameters as follows:

[0049] (1) Set regularization parameters The search interval for ;

[0050] (2) Take the initial lower bound and upper bound of the search interval as and ;

[0051] (3) calculation the value of , , and ,in k and l is the number of iterations, is a preset step size;

[0052] (4) calculation L over the curve , , and the slope of the tangent to the point , , and , where the differential is calculated numerically;

[0053] (5) if

[0054] So , k = k +1

[0055] otherwise

[0056] Similarly...

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Abstract

The invention discloses a sparse drive SAR image reconstruction regularization parameter automatic selection method. Selection of regularization parameters is a quite important issue in regularization image reconstruction. Conventional selection methods are limited in the capacity of selection of non-quadratic regularization parameters, and artificial selection of the regularization parameters is often required in order to obtain high-quality reconstruction images. In order the solve the problem, the invention provides the sparse drive SAR image reconstruction regularization parameter automatic selection numerical computation method on the basis of the research of an L curve method. The beneficial effects of the method are that automatic selection of the sparse drive SAR image reconstruction regularization parameters is realized. Computational amount is low in solving the sparse drive SAR image reconstruction regularization parameters through the method, and noise suppression and feature preservation are greatly balanced so that the more reasonable reconstruction images can be obtained.

Description

technical field [0001] The invention relates to a method for automatically selecting regularization parameters for sparse-driven SAR (Synthetic aperture radar, synthetic aperture radar) image reconstruction. Background technique [0002] Traditional SAR imaging technology has low resolution, coherent speckle noise and side lobe effects, which seriously affect the application of SAR images in tasks such as automatic target detection and target recognition. In recent years, researchers have successively proposed some new SAR image reconstruction methods. Among them, the SAR image reconstruction method based on sparseness drive, its basic idea is to achieve the purpose of enhancing the characteristics of SAR image through regularization solution. In general, image reconstruction methods based on regularization obtain a stable solution to the problem by trying to balance data fidelity and prior knowledge, and its stability is achieved by a scalar parameter, the regularization pa...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T3/40
CPCG06T3/4053G06T2207/10044
Inventor 朱正为周建江郭玉英楚红雨
Owner SOUTHWEAT UNIV OF SCI & TECH
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