Frost filtering algorithm of high-resolution No.3 SAR image based on L1/2 norm

Abstract

The invention belongs to the technical field of image processing, and particularly relates to a frost filtering algorithm of a high-resolution No.3 SAR image based on an L1 / 2 norm, which comprises thefollowing steps of: step 1, defining the Frost filtering algorithm; step 2, determining an appropriate norm, and improving the Frost filtering algorithm in the step 1 by using the appropriate norm; step 3, processing the high-resolution No.3 SAR image by using an improved Frost filtering algorithm. According to the algorithm, the speckle reduction effect of the SAR image is improved, speckles areeffectively filtered out, and meanwhile the speckle reduction effect can be well reserved in the aspects of point targets, edge detail information and the like.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a Frost filtering algorithm of the Gaofen No. 3 SAR image based on the L1 / 2 norm. Background technique [0002] GF-3 satellite is my country's first C-band multi-polarization synthetic aperture radar (SAR) satellite with a resolution of 1 meter. The coherent imaging mechanism causes obvious spots in the GF-3 SAR image, which seriously affects the interpretation of the image; Frost filtering is a traditional image filtering algorithm, and it is a filtering algorithm with the minimum mean square error, which is suitable for any system response function, the basic idea is that Frost assumes that the estimation of the real image is the convolution of the observed image and a certain impulse response, and assumes that the impulse response of the imaging system is constant under the condition of limited bandwidth, and the minimum mean square error criterion is used t...

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Problems solved by technology

[0002] GF-3 satellite is my country's first C-band multi-polarization synthetic aperture radar (SAR) satellite with a resolution of 1 meter. The coherent imaging mechanism causes obvious spots in the GF-3 SAR image, which seriously affects the interpretation of the image; Frost filtering is a traditional image filtering algorithm, which is a filtering algorithm with the minimum mean square error and is suitable for any system response function, the basic idea is that Frost assumes that the estimation of the real image is the convolution of the observed image and a certain impulse response, and assumes that the impulse response of the imaging system is constant under the condition of limited bandwidth, and the minimum mean square error criterion is used to derive the impulse response The specific form of the stimulus response

This method cannot effectively filter out the spots in the uniform area of ​​the Gaofen-3 SAR image, and cannot preserve the edge details of the image well.

The main reason is that the Frost algorithm uses a Gaussian weighted L 2 norm, while L 2 The norm does not have good sparsity, and cannot handle the spots of the GF-3 SAR image with obvious sparsity well

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