区域特征动态加权的IHS小波遥感图像融合  

IHS Wavelet Remote Sensing Image Fusion with Dynamic Weighting of Regional Feature

作　　者：刘成云[1] 常发亮[1] 刘春生[1] 尹秉坤 

机构地区：[1]山东大学控制科学与工程学院,济南250061 [2]深圳市南山区科技园数字技术园,广东深圳518057

出　　处：《计算机工程》2012年第8期198-200,共3页Computer Engineering

基　　金：国家自然科学基金资助项目(60975025);教育部博士点专项基金资助项目(20090131120039);中国博士后科学基金资助特别项目(200902563)

摘　　要：研究传统的IHS变换、小波变换和两者结合的图像融合方法,提出一种区域多元特征动态加权的IHS小波遥感图像融合算法。结合IHS变换和小波变换的优点,对匹配后的新全色分量和IHS变换后多光谱图像的亮度分量,采用多元特征动态加权法进行小波融合。实验结果表明,与传统融合算法相比,该算法在空间细节增强和光谱信息保持方面性能较优。This paper researches classical HIS transformation, wavelet transformation and fusion method, and proposes a new method for HIS wavelet remote sensing image fusion method with dynamic weighting of regional multi-feature. It combines the advantages of the IHS transform and wavelet transform to achieve a better fusion result, which comes from new full-color components after matching and brightness component of multispectral image after IHS transformation. Experimental results indicate that the proposed method has apparent advantage in reservation of spectral information and spatial details enhancement than other methods.

关 键 词：遥感图像融合 IHS变换 小波变换 区域特征 融合规则 动态加权 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]