A classification method is presented for remote sensing images,which uses C5.0 decision tree classifier based on multi-feature.The features of spectrum,texture and shape in the image are extracted with a series of operations such as algebraic manipulation of wave bands,principal component analysis,image segmentation,and so on.Then,the extraction of the thematic information of primary ground-object distribution is realized through a combination of the purified training samples for each class and the image cl...