Vegetation is an important element and has such a complexity and uncertainty in remote sensing image that the extraction of vegetation by using remote sensing is a very difficult work. Vegetation is extracted using rich ETM＋data in mineralized alteration zone of west Tianshan, Xinjiang to subsequently extract the minerals alteration. In order to ensure better minerals alteration, the feature-oriented principal component analysis ＋ optimal density segmentation was proposed based on the analysis of spectral feature of vegetation and minerals alteration. The results showed that using ETM＋ band 3 and band 4 combinations can better extract vegetation and this method is of great value in use.
