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.
出处
《北京测绘》
2011年第3期14-16,共3页
Beijing Surveying and Mapping
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
remote sensing
image classification
minimum distance
maximum likelihood
neural net
support vector machine
