SAR image denoising based on data fusion

Shen Guofang, Hu Xin, Jiao Licheng
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引用次数: 10

Abstract

The CMAP filter which is based on the statistic characteristics of SAR (synthetic aperture radar) image and the filter which is based on the wavelet transform show different performance in the application of SAR image denoising. The CMAP filter can reduce the influence of the speckle better, but the detail of the image is lost greatly. Wavelet transform can keep the detail of the image well, but the effect of reducing the speckle is not good. In this paper, we fuse the two results of these two filter methods according to a certain fusion rule. The experimental result shows that this method can reduce the influence of the speckle and maintain the image detail well.
基于数据融合的SAR图像去噪
基于合成孔径雷达图像统计特性的CMAP滤波器与基于小波变换的CMAP滤波器在SAR图像去噪应用中表现出不同的性能。CMAP滤波器能较好地降低散斑的影响,但图像的细节丢失较大。小波变换能很好地保留图像的细节,但对斑点的去除效果不佳。本文将这两种滤波方法的结果按照一定的融合规则进行融合。实验结果表明,该方法能较好地降低散斑的影响,保持图像细节。
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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