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An Improved Non-local Mean Filtering Method for Polsar Images

A non-local mean and image technology, applied in the field of PolSAR image interpretation, can solve the problems of lack of effective methods, achieve the effects of filtering noise, improving filtering efficiency, and improving accuracy

Active Publication Date: 2021-08-31
CIVIL AVIATION UNIV OF CHINA
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  • Application Information

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Problems solved by technology

However, there is still no effective method

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  • An Improved Non-local Mean Filtering Method for Polsar Images
  • An Improved Non-local Mean Filtering Method for Polsar Images
  • An Improved Non-local Mean Filtering Method for Polsar Images

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Embodiment Construction

[0030] The improved PolSAR image non-local mean filtering method provided by the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0031] Such as figure 1 As shown, the improved PolSAR image non-local mean filtering method provided by the present invention comprises the following steps carried out in order:

[0032] 1) Input the PolSAR image, determine the search window of the pixels to be filtered in the image and select homogeneous pixels in it to form a homogeneous pixel set;

[0033] Specific steps are as follows:

[0034] (a) First input the PolSAR image, such as figure 2 As shown, set the pixel to be filtered as x, and select an image block within a certain range centered on the pixel as the search window S(x) of the pixel to be filtered x; The neighborhood pixel block is the neighborhood window of the pixel x to be filtered, which is denoted as X; the polarization screening of the pixels in ...

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Abstract

An improved non-local mean filtering method for PolSAR images. This method combines the statistical characteristics of the image sub-block and the polarization scattering characteristics of the target point to screen the homogeneous pixels, introduces the coefficient of variation to adaptively select the smoothing coefficient to calculate the weight required for filtering, and performs non-local mean filtering on the homogeneous pixels, and finally Output the filtered PolSAR image. The inventive method has the following advantages: 1) it can effectively filter out coherent speckle noise; 2) it has a strong degree of self-adaptation; the inventive method can adaptively select the smoothing coefficient according to the heterogeneity of the image block; , the edge features of the image are better preserved. 3) The polarization scattering features of the filtered image point target are better preserved by using polarization screening.

Description

technical field [0001] The invention belongs to the technical field of PolSAR image interpretation, in particular to a PolSAR image non-local mean filtering method. Background technique [0002] Polarimetric synthetic aperture radar (PolSAR) has all-weather, all-weather and high-penetration working characteristics, and has played an increasingly widespread role in remote sensing observations such as ground object classification, snow cover measurement, and disaster estimation. role. Coherent speckle noise is inherent in the PolSAR imaging system, and its existence will not only reduce the visual quality of the image, but also is not conducive to the subsequent processing of the image such as classification and recognition. Therefore, speckle suppression becomes a prerequisite for PolSAR image interpretation. But there is still a lack of effective methods. Contents of the invention [0003] In order to solve the above problems, the object of the present invention is to p...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
CPCG06T2207/10044G06T2207/20004G06T2207/20024G06T5/70
Inventor 韩萍贾锟卢晓光张喆韩斌斌
Owner CIVIL AVIATION UNIV OF CHINA
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