基于ENVI的遥感图像监督分类方法比较研究  

The Comparative Study of Remote Sensing Image Supervised Classification Methods Based on ENVI

作　　者：闫琰[1] 董秀兰[1] 李燕[1] 

机构地区：[1]安徽理工大学测绘学院,安徽淮南232001

出　　处：《北京测绘》2011年第3期14-16,共3页Beijing Surveying and Mapping

摘　　要：基于监督分类方法在遥感影像分类中的普遍应用,介绍了四种ENVI提供的常用的监督分类方法。对同一TM图像运用这四种方法进行分类,并对分类结果进行了对比,从而分析了这四种方法分类精度之间的差异。This paper describes four commonly used methods of supervised classification ENVI provides,based on the universal application of supervised classification in remote sensing image classification.The same TM image is classified using four methods,the result was analyzed essentially.Therefore,the paper analyzes the difference between the classification accuracy of these four methods.

关 键 词：遥感 图像分类 最小距离法 最大似然法 神经网络 支持向量机 

分 类 号：P237[天文地球—摄影测量与遥感]