摘要
基于SAR图像统计特性的CMAP滤波器和基于小波变换的滤波器在SAR图像去噪的应用中表现出不同的特性:CMAP滤波器可以较好地进行斑点噪声的去除,但是图像细节信息丢失较多;而小波变换虽然可以较好地保持图像的细节信息,但是平滑效果并不理想.文中将两种滤波方法的结果按照一定的融合规则进行融合,仿真结果表明,融合后的图像在较好地去除斑点噪声的同时,细节信息也得到了好的保留.
The CMAP filter based on the statistic feature of SAR image and the filter based on the wavelet transform show different characteristics in the applicatoin of SAR image denoising. The CMAP filter can reduce the influence of the speckle better, but the detail of the image is lost greatly. The wavelet transform can keep the detail of the image well, but the effect of reducing the speckle is not good. In this paper, we use 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 keep the image detail well.
出处
《西安电子科技大学学报》
EI
CAS
CSCD
北大核心
2004年第1期91-95,101,共6页
Journal of Xidian University
基金
国家自然科学基金资助项目(60133010
60073053)
