Diffusion coefficient-optimum SAR image speckle suppression n calculation method

A technology of coherent speckle suppression and diffusion coefficient, which is applied in the field of image processing, can solve problems such as no directionality, unsatisfactory diffusion coefficient, and different diffusion speeds, so as to achieve the effect of removing coherent speckle and improving the inconsistent diffusion speed

Inactive Publication Date: 2017-10-31
DALIAN MARITIME UNIVERSITY
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Problems solved by technology

However, the Lee filter and Kuan filter coefficients generated by the local window estimation have no directionality and cannot match the local geometric features of the SAR image. They are static adaptive parameters.
Therefore, the diffusion filtering process of SRAD and DPAD will cause the unevenness of diffusion to be accumulated and amplified in multiple it

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  • Diffusion coefficient-optimum SAR image speckle suppression n calculation method
  • Diffusion coefficient-optimum SAR image speckle suppression n calculation method
  • Diffusion coefficient-optimum SAR image speckle suppression n calculation method

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[0069] The present invention will be further described below in conjunction with the accompanying drawings and experimental comparative analysis results.

[0070] In order to verify the effectiveness of the calculation method, the present invention is based on image 3 The flow chart shown conducts experiments on real SAR images. The number of iterations in the experiments of the two links is 50, and the time step is 0.05. Choose P=8.

[0071] In this experiment, three real SAR images were selected for processing. The experimental results are as follows: figure 1 shown.

[0072] The edge results of the speckle suppression images of the three calculation methods are as follows: figure 2 shown. figure 1 The first column in is the original SAR image, the size of A1 is 250×207, the size of A2 is 256×256, and the size of A3 is 256×256. The area marked by the rectangular frame is the uniform area of ​​the SAR image. The second column is the result processed by the original SR...

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Abstract

The invention discloses a calculation method for SAR image coherent speckle suppression with optimal diffusion coefficient, comprising the following steps: calculating εR(x, y) of the point matrix of the SAR image; calculating the diffusion coefficient c(g); Perform speckle suppression. The improved diffusion coefficient of the present invention has improved the inconsistency of diffusion speed when the existing diffusion coefficient is in the homogeneous region; since the diffusion coefficient of the present invention can realize isotropic diffusion in the homogeneous region, i.e. cη=cξ=1, it can be better In the heterogeneous area, when cη=cξ=0, the diffusion is stopped, which can inversely smooth the edge of the SAR image and enhance the edge information of the image. The ratio of the diffusion rate in the η direction to the diffusion rate in the ξ direction is zero, and it can be seen that the diffusion coefficient satisfies the Charbonnier criterion. Experimental comparison verifies the validity and superiority of the calculation method of the present invention, and theoretically proves that the diffusion coefficient of the present invention is iteratively stable in the coherent speckle suppression process.

Description

technical field [0001] The invention relates to an image processing technology, in particular to a calculation method for SAR image coherent speckle suppression. Background technique [0002] At present, many SAR image coherent speckle suppression methods based on anisotropic diffusion have been proposed, among which the classic anisotropic diffusion suppression methods mainly include: P-M anisotropic diffusion filter algorithm, SARD speckle suppression method, DPAD speckle suppression method method etc. [0003] The P-M anisotropic diffusion filter algorithm applies partial differential equations to the image. This method is proposed on the basis of additive noise. The traditional P-M diffusion is not suitable for the speckle suppression processing of SAR images directly because: one , P-M diffusion either cannot completely suppress the noise in the edge area, or it is easy to cause the loss of edge details; second, the gradient operator used by P-M diffusion is prone to n...

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Application Information

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IPC IPC(8): G06T5/00
CPCG06T5/002
Inventor 史晓非张敏李艳华马海洋
Owner DALIAN MARITIME UNIVERSITY
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