摘要
通过将主成分变换与IHS变换相结合,避免了会导致SAR信息量损失的滤波过程,实现了一种可降低SAR斑点噪声影响的遥感影像融合算法。与主成分变换融合方法、IHS变换融合方法在主观视觉效果分析和客观统计参数两方面进行比较,新方法不仅很好地保留了多光谱影像的光谱信息,增强了结果影像的空间细节表现能力,而且有效地抑制了SAR斑点噪声,提高了结果影像的信息量与清晰度。
Based on PCA trasform in combination with IHS transform a new remote sensing image fusion method to fuse a multi-spectral image and a SAR image was proposed. The new method avoids the filtering process which might lead to SAR information loss, and reduces the impact of SAR speckle noise. Visual results and statistical parameters indicate that the performance of the new method is better than those of PCA-based fusion method and IHS- based one. The new method not only retains spectral information of original multi-spectral images completely and enhances details of result images greatly, but also efficiently reduces the speckle noise of SAR image. Furthermore, it improves information amount and clearness of result images.
出处
《自然灾害学报》
CSCD
北大核心
2008年第6期87-90,共4页
Journal of Natural Disasters
基金
霍英东教育基金会资助项目(111017)
国家自然科学基金资助项目(40801172
40671130)
中国博士后科学基金资助项目(20070420018)
北京市自然科学基金资助项目(4072016)
对发展中国家科技援助项目