摘要
与遥感技术的快速的开发，遥感图象的分辨率逐渐地被改进；然后，人们能从这些 images.Thus 提取更有用的数据和信息，从遥感图象的一个重要信息抽取方法-图象分类，在 phenophase 和乐队作文特征上成为越来越多的 important.Based ，这篇论文第一在遥感图象分类讨论背景参数的重要角色；然后基于
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 phenopthase and band composition characteristics, this paper firstly discusses the important role of background parameters in remote sensing images classification; then based on geographical infomation system technology, the computerized automatic classification to high-medium-low-yield croplands in Dingxiang County of Shanxi Province in rotate sensing images has been carried out by using eompound layers classification method of multi-thematic information; compared the classification result to the visual interpretation results, the accuracy increases from 70% to above 90%.
