基于ICA的遥感图像的色彩分类方法

摘要

根据独立成分分析（ ICA）方法和多频谱卫星遥感图像的特点，提出了一种基于ICA的遥感图像色彩分类法。方法使用Fast ICA算法提取遥感图像的色彩独立成分，是RGB反转的结合，具有互补的分布，不受照明的影响。使用最大相似度分类算法对像素进行色彩分类，实验结果表明，方法的色彩分类效果较好，对多频谱遥感图像进行色彩分类十分有效。%This article propose a classification algorithm for satellite remote sensing images based on Inde-pendent Components Analysis ( ICA) .The algorithm combines the advantage of ICA and multispectral re-motely sensed images .The algorithm extracts the spectral independent components of multispectral re-motely sensed images by Fast ICA algorithm .It is the combine of reversion about R ,G and B,has comple-mentary distribution and is unacted on illumination .Maximum Likelihood is used to classify the pixels . Experimental results demonstrate that the algorithm is an effective improve method to classify the multi-spectral remotely sensed images .