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A Method for SAR Image Speckle Reduction Based on Non-convex Weighted Sparse Constraints

A sparse-constrained, non-convex technology, applied in image enhancement, image analysis, image data processing, etc., to improve sparse representation performance, accurate estimation results, and suppress artifacts

Active Publication Date: 2020-09-18
CHONGQING UNIV
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Problems solved by technology

[0004] The purpose of the present invention is to propose a SAR image speckle reduction method based on non-convex weighted sparse constraints in view of the lack of image detail preservation in the existing SAR image speckle reduction

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  • A Method for SAR Image Speckle Reduction Based on Non-convex Weighted Sparse Constraints
  • A Method for SAR Image Speckle Reduction Based on Non-convex Weighted Sparse Constraints
  • A Method for SAR Image Speckle Reduction Based on Non-convex Weighted Sparse Constraints

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Embodiment Construction

[0031] refer to figure 1 , the present invention is a SAR image speckle reduction method based on non-convex weighted sparse constraints, and the specific steps include the following:

[0032] Step 1. Establishment of non-convex weighted sparse constrained model

[0033] The SAR image is logarithmically transformed to convert its multiplicative noise model into an additive noise model:

[0034]

[0035] Based on the additive model, for each target image block x in the image i , and compare the similarity with all image blocks within its search range. In order to meet the multiplicative model characteristics of SAR images, the similarity comparison between two image blocks uses formula (8):

[0036]

[0037] where x i (k) represents the image block x i For the kth pixel value, select the S-1 image blocks with the highest similarity to the target image block to form a similar image block set R i x, and establish a non-convex weighted sparse constraint model according ...

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Abstract

The invention discloses a SAR image speckle reduction method based on non-convex weighted sparse constraints, and belongs to the technical field of digital image processing. It takes advantage of the sparsity of similar image block sets in the transform domain. First, it searches for similar image block sets through similarity comparison for each target image block and performs singular value decomposition to obtain the coefficient matrix. Then it applies non-convex weighted constraints to the coefficient matrix, and The coefficient matrix is ​​estimated through threshold shrinkage, so that the estimated coefficient matrix is ​​closer to the real coefficients, and finally the estimated coefficient matrix is ​​used to reconstruct the speckle reduction result; the present invention uses non-convex weighted constraints on the coefficient matrix to make the speckle reduction result The image can effectively suppress coherent speckle noise while retaining details, and has obtained a more accurate speckle reduction image, which is easier to identify targets, so it can be used for speckle reduction in SAR images.

Description

technical field [0001] The invention belongs to the technical field of digital image processing, and in particular relates to an image speckle reduction method based on non-convex weighted sparse constraints of image block sets, which is used for SAR image speckle reduction processing. Background technique [0002] Synthetic Aperture Radar (SAR) imaging is widely used in civilian and military applications such as terrain mapping, disaster forecasting, and battlefield reconnaissance because of its all-weather, all-weather, strong ability to resist weather interference, and high-resolution imaging in range and azimuth. However, due to the unique imaging process of SAR, there are serious speckle noises in SAR images, which may easily cause difficulties in small target recognition. [0003] The method of suppressing coherent speckle before SAR image imaging is mainly multi-view technology, that is, to average multiple sub-images of the same scene. This method can initially suppr...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
CPCG06T2207/10044G06T5/70
Inventor 刘书君沈晓东曹建鑫杨婷张奎李勇明
Owner CHONGQING UNIV
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