Sparse constraint SAR image reconstruction regularization parameter GCV golden section automatic search algorithm

A technology of image reconstruction and sparse constraints, applied in image data processing, graphics and image conversion, computing, etc., can solve problems such as difficult construction, and achieve the effect of small amount of calculation

Inactive Publication Date: 2016-10-26
SOUTHWEAT UNIV OF SCI & TECH
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Problems solved by technology

[0028] For larger problems, due to computer memory limitations, will be difficult to construct

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  • Sparse constraint SAR image reconstruction regularization parameter GCV golden section automatic search algorithm
  • Sparse constraint SAR image reconstruction regularization parameter GCV golden section automatic search algorithm
  • Sparse constraint SAR image reconstruction regularization parameter GCV golden section automatic search algorithm

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Embodiment Construction

[0044] In order to make the technical means, creative features, work flow, and use methods of the present invention achieve the purpose and effect easy to understand, the present invention will be further described below.

[0045] The present invention determines the sparse constraint SAR image reconstruction regularization parameter GCV golden section automatic search optimization algorithm as follows:

[0046] (1) Determine an initial interval . Note that it is common to start with a large initial interval, such as ;

[0047] (2) According to the golden ratio , determine the two test values . because The coverage area is large, so in the specific operation, the golden section point is selected on a logarithmic scale, that is, , ;

[0048] (3) calculation and ;

[0049] (4) Determine a new interval through the golden section search ,Right now

[0050] if ,in is a small normal number

[0051] So

[0052] otherwise ;

[0053] (5) , repeat s...

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Abstract

The invention discloses a sparse constraint SAR image reconstruction regularization parameter GCV golden section automatic search numerical computation method. During regularization image reconstruction, selection of regularization parameters is a very important issue; for the selection of the nonquadratic regularization parameters, a conventional selection method is limited; and in order to obtain a high-quality reconstructed image, the regularization parameters are always selected manually. In order to solve the problems above, the invention provides the sparse constraint SAR image reconstruction regularization parameter GCV golden section automatic search numerical computation method on the basis of studying the GCV method. The beneficial effects of the method are that automatic selection of the sparse constraint SAR image reconstruction regularization parameters is realized; calculation amount in calculating the sparse constraint SAR image reconstruction regularization parameters is small through the method, and a better balance is kept between noise suppression and feature preservation; and a more reasonable reconstructed image can be obtained.

Description

technical field [0001] The invention relates to a GCV golden section automatic search numerical calculation method for the regularization parameters of sparsely constrained SAR (Synthetic aperture radar, synthetic aperture radar) image reconstruction. Background technique [0002] In the regularized reconstruction of SAR images, the choice of regularization parameters is a very important issue, which directly determines the quality of the reconstructed image. At present, researchers have proposed several regularization parameter selection methods based on statistical ideas, among which the most famous and widely used is the Tikhonov regularization method. The Tikhonov regularization method is a quadratic regularization method. In the Tikhonov regularization method, the quadratic optimization problem consists of a set of linear equations with closed solutions, which can realize the automatic selection of regularization parameters and greatly reduce the image reconstruction. ...

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Application Information

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IPC IPC(8): G06T3/40
CPCG06T3/4053
Inventor 朱正为郭玉英楚红雨
Owner SOUTHWEAT UNIV OF SCI & TECH
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