Study on Denoising and Enhancement Method in SAR Image based on Wavelet Packet and Fuzzy Set

Zhenlin Wang, Ke Wang, Zengyuan Liu, Zhengbo Zeng
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引用次数: 2

Abstract

Aiming at problem of denoising and enhancement in Synthetic Apertnre Radar (SAR) image, this paper proposes a fnsion of wavelet packet transform and fnzzy set algorithm for freqnency domain and fnzzy domain collaborative and joint processing to improve denoising and enhancement effect in SAR image. Firstly, wavelet packet transform was nsed to decompose SAR image in freqnency domain, and noise was removed by threshold qnantization. Then, the low freqnency part of SAR image was linearly transformed to enhance freqnency domain of SAR image. Finally, fnzzy set algorithm was nsed to enhance fnzzy domain of SAR image. In snmmary, this paper comprehensively proposes a SAR image denoising and enhancement algorithm combining wavelet packet and fnzzy set. The effectiveness and snperiority of proposed method are verified by experiments.
基于小波包和模糊集的SAR图像去噪增强方法研究
针对合成孔径雷达(SAR)图像的去噪和增强问题,提出了一种融合小波包变换和fnzzy集算法进行频域和fnzzy域协同联合处理,以提高SAR图像的去噪和增强效果。首先,采用小波包变换对SAR图像进行频域分解,并采用阈值量化去除噪声;然后,对SAR图像的低频部分进行线性变换,增强SAR图像的频域;最后,采用模糊集算法增强SAR图像的模糊域。综上所述,本文综合提出了一种结合小波包和模糊集的SAR图像去噪增强算法。实验验证了该方法的有效性和优越性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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