SAR image noise reduction method based on shear wave coefficient processing

Abstract

The invention discloses an SAR image noise reduction method based on shear wave coefficient processing and belongs to the technical field of digital image processing. The SAR image noise reduction method based on shear wave coefficient processing comprises the steps of based on the sparsity of converted image shear wave coefficients, firstly establishing a sparse representation model based on the image shear wave coefficients, and then realizing unbiased estimation on sparse representation coefficients in statistical mean sense by use of a Stagewise Orthogonal Matching Pursuit (StOMP) algorithm and reconstructing the sparse-represented shear wave coefficients into a noise-reduced image, making up for the loss of image details due to the partial lost coefficients in sparse representation, performing further iterative denoising on the result of the projection reconstruction of the image in the shear wave function space corresponding to the lost coefficients by use of the capacity of a shear wave function corresponding to the part of coefficients in extracting image edge details in combination with an energy functional-based Total Variation (TV) method, and finally, obtaining a denoised image rich in details; as a result, the speckle noise of the SAR image is suppressed and the detail texture of the image is also maintained; the SAR image noise reduction method based on shear wave coefficient processing can be applied to SAR image noise reduction.

Description

technical field [0001] The invention belongs to the technical field of digital image processing, and in particular relates to a SAR image noise reduction method, which is used to perform noise reduction processing on the SAR image. Background technique [0002] Synthetic aperture radar has all-weather and all-weather detection and reconnaissance tracking capabilities in imaging, and can effectively identify camouflage and penetrate cover objects. Therefore, SAR images are widely used in aerial photogrammetry and remote sensing, satellite ocean observation, space reconnaissance, Image matching guidance, deep space exploration, etc. However, the speckle noise brought to the image by the SAR coherent imaging mechanism has an adverse effect on post-processing such as target recognition and image compression. Whether the speckle noise can be effectively filtered out has become an important prerequisite for subsequent image interpretation. [0003] Since SAR images have rich tex...

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Problems solved by technology

[0004] The present invention provides a SAR image denoising method based on shear wave coefficient processing in order to overcome the deficiency of image edge detail information loss in the existing SAR image denoising method and to obtain a denoising SAR image with clear details

This method fully considers the characteristics of shear wave coefficients, first establishes the noise reduction model with sparse representation of shear wave coefficients, and then uses the TV method to further repair the image, which can not only suppress the speckle noise of SAR images well, but also solve the problem of speckle reduction The detail texture of the image is preserved, so this method can effectively achieve SAR image noise reduction

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