Abstract: 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.

Key words: remote sensing image fusion, IHS transformation, wavelet transformation, regional feature, fusion rule, dynamic weighting

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。

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

CLC Number: 

• TP18