Title :
SAR image denoising based on data fusion
Author :
Guofang, Sheng ; Xin, Hu ; Licheng, Jiao
Author_Institution :
National Key Lab for Radar Signal Process., Xidian Univ., Xi´´an, China
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.
Keywords :
image denoising; sensor fusion; speckle; synthetic aperture radar; wavelet transforms; CMAP filter; SAR image; data fusion; fusion rule; image denoising; synthetic aperture radar; wavelet transform; Computational intelligence; Image denoising;
Conference_Titel :
Computational Intelligence and Multimedia Applications, 2003. ICCIMA 2003. Proceedings. Fifth International Conference on
Print_ISBN :
0-7695-1957-1
DOI :
10.1109/ICCIMA.2003.1238115
