K-L变换在多光谱图像聚类中的应用

Application of K-L transformation in multispectral image clustering

遥感图像是通过光谱信息和空间信息表征地物的。选择特定地区不同时相的多光谱图像进行聚类分析 ,可以实现卫星核查和作物估产等应用目的和要求。多光谱图像的波段间存在大量的冗余数据 ,文中采用了对多光谱图像先进行K L变换再进行聚类的解决方法 ,并对某地区多光谱图像进行了处理分析 ,取得了理想效果。

Remote-sensing image characterizes terrestrial object by its spectrum and space identity. The CTBT satellite nuclear test verification and a crop assessment could be carried out by use of multispectral image of particular area in different period. Based on K-L transformation, a clustering algorithm to deal with redundant data between several bands of multispectral images was proposed. A multispectral image of certain nuclear test site and a civilian TM image were processed and analysed. The results indicate that the algorithm is available.