摘要
使用基于光谱特征的六种常用监督分类方法,对同景黄河口湿地高光谱CHRIS影像进行分类,后对分类结果进行对比,进而分析并总结六种方法分类精度之间的差异和各自的特点。
Using six kinds of commonly used supervised classification method based on spectral characteristics to classify the Yellow River Estuary wetland hyperspectral CHRIS image, after comparing with the results of classification, and then it analyzes and summarizes the differences and their respective characteristics of classification accuracy between the six methods.
出处
《价值工程》
2014年第2期184-186,共3页
Value Engineering
关键词
遥感
高光谱
监督分类
最大似然法
湿地
remote sensing
hyperspectral
supervised classification
maximum likelihood method
wetland
