A SAR image noise reduction method and system

Abstract

The invention belongs to the technical field of digital image processing, and in particular relates to a SAR image denoising method and system. The noise-containing training image and the noise-free training image are respectively subjected to wavelet transformation processing to obtain noise-containing training wavelet domain information and noise-free training wavelet domain information. domain information; according to the initial downsampling parameters, the noise-containing training image is down-sampled to obtain the spatial domain information; according to the initial feature supplementary parameters and the spatial domain information, the noise-containing training wavelet domain information is supplemented to obtain the training noise reduction feature vector; Comparing the training denoising feature vector with the noise-free training wavelet domain information to obtain the network weight; optimizing the initial downsampling parameters and initial feature supplement parameters according to the network weight to obtain the denoising model; according to the denoising model, the noise-containing test image is The denoising process obtains the denoising feature vector; the denoising feature vector is reconstructed to obtain the denoising test image. This application has high structural similarity, less speckle noise residue, and complete image features.

Description

technical field [0001] The invention belongs to the technical field of digital image processing, and in particular relates to a SAR image noise reduction method and system. Background technique [0002] Synthetic Aperture Radar (SAR) is a high-resolution imaging radar system used in shipboard, airborne and spaceborne. The SAR system has unique advantages: radar waves have a strong penetrating ability, and the imaging distance is long; it is not affected by the weather and can work all day long; the spatial resolution is high, and high-quality images of the target can be obtained. Therefore, the SAR system Widely used in military and civilian fields such as disaster monitoring, resource exploration, target detection and tracking, and precision guidance. However, SAR data is easily damaged by speckle noise (multiplicative noise) due to its own characteristics, thereby affecting the imaging quality. [0003] SAR image denoising can be regarded as an inverse problem of noise e...

AI Technical Summary

Problems solved by technology

However, in the face of strong noise environment, the existing methods are difficult to take into account the two aspects of noise suppression and detail preservation. The image noise after noise reduction is obvious, and the detail loss is serious, which is difficult to meet the actual use requirements.

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