SAR image noise reduction method based on shear wave coefficient processing

An image noise reduction and shear wave technology, applied in image data processing, image enhancement, instruments, etc., can solve the problems of image edge detail information loss, detail texture maintenance, etc.

Active Publication Date: 2014-12-17
CHONGQING HANYUAN MACHINERY
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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 establ

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  • SAR image noise reduction method based on shear wave coefficient processing
  • SAR image noise reduction method based on shear wave coefficient processing
  • SAR image noise reduction method based on shear wave coefficient processing

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[0035] Reference figure 1 , The SAR image noise reduction method based on shear wave coefficient processing of the present invention, the specific steps include the following:

[0036] Step 1: image noise model conversion

[0037] Using equation (8) non-logarithmic noise conversion model to convert SAR image multiplicative noise model into additive noise model

[0038] I=RX=X+(R-1)X=X+N formula (8)

[0039] Where I is the image intensity contaminated by noise, R represents the coherent speckle noise, X represents the true backscattering intensity of the ground object, and N=(R-1)X is the zero mean additive noise.

[0040] Step 2: Sparse noise reduction in shear wave domain

[0041] The noise image is subjected to shear wave transformation to obtain the shear wave coefficients at 5 scales of the horizontal cone and the vertical cone, and the coefficients at each scale are sparsed by column. First construct a random measurement matrix Φ={φ r } r∈Γ , And then normalize it. Assuming that...

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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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Application Information

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IPC IPC(8): G06T5/00
Inventor 刘书君吴国庆张新征徐礼培
Owner CHONGQING HANYUAN MACHINERY
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