摘要
以Landsat TM遥感影像为数据源,以云南省陆良县为研究对象,利用ENVI4.8对陆良县的Landsat TM遥感影像进行图像预处理以及最佳波段组合,运用监督分类中的平行六面体分类、最小距离分类、马氏距离分类以及最大似然分类等四种分类方法,对地物信息进行提取,并对其分类精度进行评价。最后发现,波段146组合适合陆良县的地物提取。在分类方法中,最大似然法分类的总体精度及Kappa系数均高于其他三种分类。
The Landsat TMremote sensing images of Luliang County in Yunnan Province were based to test the su-pervised classification methods including the use of parallelepiped classification,minimum distance classifier,Ma-halanobis distance,and maximum likelihood classification to pre -process and identify the best band combination on the basis of ENVI 4.8.The results found that the band 146 combinations of feature extraction were most suitable for Luliang County.The overall precision obtained from the maximum likelihood and the Kappa coefficient were higher than the other three methods.
出处
《环境科学导刊》
2015年第3期121-126,共6页
Environmental Science Survey
关键词
监督分类
最佳波段组合
精度评价
陆良
supervised classification
the best band combination
precision assessment
Luliang
