Classification Method Research to Remote Sensing Images

With rapid development of remote sensing technology,the resolution of remote sensing images is increasingly improved;then people can extract more useful data and information from these images.Thus,an important information extraction method from remote sensing images-image classification,becomes more and more important.Based on phenophase and band composition characteristics,this paper firstly discusses the important role of background parameters in remote sensing images classification;then based on geographical information system technology,the computerized automatic classification to high-medium-low-yield croplands in Dingxiang County of Shanxi Province in remote sensing images has been carried out by using compound layers classification method of multi-thematic information;compared the classification result to the visual interpretation results,the accuracy increases from 70% to above 90%.