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SAR image noise suppression method based on direction wave domain mixture Gaussian model

A mixture of Gaussian model and image noise technology, applied in the field of image processing, can solve problems such as difficulty in coefficients

Active Publication Date: 2010-02-03
XIDIAN UNIV
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Problems solved by technology

However, due to the coset decomposition operation used, too many zero values ​​are added, and it is difficult to fit the model to the coefficients obtained after decomposition.

Method used

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  • SAR image noise suppression method based on direction wave domain mixture Gaussian model
  • SAR image noise suppression method based on direction wave domain mixture Gaussian model
  • SAR image noise suppression method based on direction wave domain mixture Gaussian model

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Embodiment Construction

[0028] refer to figure 1 , the specific implementation steps of the present invention are as follows:

[0029] Step 1: Decompose the cartoon texture model on the SAR image, select the optimal number of iterations, and obtain the cartoon part and the texture part of the SAR image. The mathematical expression of the cartoon texture model is:

[0030] f(x,y)=u(x,y)+v(x,y)

[0031] where u∈BV(R 2 ), consisting of sliced ​​smooth areas and clear edges, is regarded as the cartoon part of the SAR image, and v is the remaining texture and noise, called the texture part. When v∈G, G is a defined Banach space, the model is obtained:

[0032] inf u ∈ BV { E ( u ) = ∫ | ▿ u | + λ | | v | ...

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Abstract

The invention discloses an SAR image noise suppression method based on a direction wave domain mixture Gaussian model, belonging to the field of image processing, mainly solving the problems of fuzzydistortion of an SAR image caused by the current denoising method and improvement of excessive zero values added by coset decomposition of direction wave, and comprising the following steps: (1) carrying out cartoon texture model decomposition on the SAR image; (2) carrying out improved direction wave transformation on the texture part; (3) carrying out fitting of the mixture Gaussian model on thehigh frequency subband coefficient of the coset; (4) estimating noise variance; (5) estimating noise-free coefficient by Bayesian Minimum Mean-Square Error (MMSE); (6) carrying out improved directionwave inverse transformation on the noise-free coefficient to obtain the denoised texture part; and (7) adding the cartoon part and the denoised texture part to obtain a denoised SAR image. The SAR image noise suppression method has the advantages of improved definition, better maintenance of detail information and smoother uniform region of the denoised SAR image and can be used in filtering speckle noise in the SAR image.

Description

technical field [0001] The invention belongs to the field of image processing, and in particular relates to a SAR image noise suppression method, which can be used to filter coherent speckle noise in the SAR image. Background technique [0002] Synthetic Aperture Radar (SAR) is an all-weather, all-weather radar that can obtain high-resolution images similar to optical images under various weather conditions. Its coherent imaging mechanism will inevitably produce coherent speckle noise, so that its image cannot effectively reflect the scattering characteristics of ground objects. A good speckle suppression method should be able to reduce the noise while maintaining the detailed information in the SAR image as much as possible. The denoised SAR image is more conducive to subsequent computer automatic analysis and understanding in terms of visual effect and information content. [0003] In recent years, SAR image speckle noise suppression technology has developed rapidly, whic...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S13/90
Inventor 侯彪焦李成关辉王爽张向荣马文萍
Owner XIDIAN UNIV
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