基于RS的森林乔木判别应用  

The Application Based on the RS of Forest Arbor Distinguishing Object

作　　者：刘涛[1] 谷建才[1] 陈凤娟[1] 赵海祥 李校[3] 

机构地区：[1]河北农业大学,河北保定071001 [2]河北省隆化县茅荆坝林场,河北隆化068154 [3]中国地质大学长城学院,河北保定071001

出　　处：《中国农学通报》2009年第8期108-112,共5页Chinese Agricultural Science Bulletin

基　　金：河北省重点支持项目"落叶松人工林高效经营技术普及"(20060612142)

摘　　要：以塞罕坝机械林场SPOT-5遥感图为判别对象,采用监督分类的三种不同分类器-最大似然法则,最小距离法则和平行六面体法则对林场乔木树种进行判别分类。结果表明最大似然运算法则适合该地区乔木分类,分类总精度为86.25%。运用最大似然法则的总分类精度要比运用最小距离法则得到的分类总精度提高12.14个百分点,而平行六面体法则在此次分类中不符合实际情况。The remote sensing image digital of SPOT-5 of Saihanba Mechanized Forest Farm was being adopted distinguishing object in this paper. The three different classifiers of supervised classification： maximum likelihood classifier, minimum distance method and parallelepiped method were being adopted. The results showed that classification accuracy of maximum likelihood classifier was 86.25% and it was the best suitable method for the classification of arbors in Saihanba area. The classification accuracy of maximum likelihood classifier was 14.73 percentage points more than minimum distance method and the parallelepiped rule was not according with practical condition in this research.

关 键 词：分类精度 分类器 树种 

分 类 号：S771.8[农业科学—森林工程]