SWT domain improved particle filter-based SAR image despeckling method

Abstract

The invention discloses a stationary wavelet transform (SWT) improved particle filter-based synthetic aperture radar (SAR) image despeckling method, which mainly solves the problems of low statistical modeling accuracy, fuzzy image edge and texture after despeckling and the like in a conventional discrete wavelet transform (DWT) domain basic particle filter method. The realization process of the method comprises the following steps of: (1) transforming an airspace image to be despeckled to obtain a stationary wavelet domain and extracting SWT domain image groups with different transform scales in horizontal, vertical and diagonal directions; (2) performing despeckling processing on the SWT domain image groups by using an improved particle filter despeckling method; and (3) transforming the despeckled stationary wavelet domain image groups to airspace by using stationary wavelet inverse transform, wherein the airspace image is a finally despeckled result. Compared with the conventionalDWT domain basic particle filter method, the SWT improved particle filter-based SAR image despeckling method has a stable result, an obvious despeckling effect and remarkable image texture information, single point target and boundary maintaining effects, and can be used for target detection and target identification.

Description

technical field [0001] The invention belongs to the technical field of image processing, relates to image noise reduction, and can be used for target detection and target recognition on SAR images. Background technique [0002] In order to obtain the relevant information of the imaging area from the SAR image, it must be interpreted effectively, but the existence of multiplicative speckle noise reduces the detection probability of the target and hinders the further research on the SAR image. Therefore, the study of suppressing speckle in SAR images has always been an important topic in SAR imaging processing and image analysis. The key is to preserve the edge and texture information of the image while removing the speckle noise. The method used to suppress SAR image speckle noise in the early days is multi-look processing, but this method will also reduce the image resolution. Further filtering methods are spatial filtering methods, such as Lee, Kuan, Frost, Refined Lee and...

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Problems solved by technology

[0004] The purpose of the present invention is to overcome the shortcomings of the above-mentioned existing problems, and propose a SAR image speckle reduction method based on the improved particle filter in the SWT domain, so as to solve the problems of low statistical modeling accuracy and the problem of low speckle reduction in the basic particle filter speckle reduction method. Problems such as image edge and texture blur

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