基于TM数据的遥感分类方法对比研究  

A Comparative Study on Remote Sensing Classification Method Based on TM Data

作　　者：秦及茹 徐天蜀[1] 

机构地区：[1]西南林业大学林学院,云南昆明650224

出　　处：《绿色科技》2015年第1期272-274,共3页Journal of Green Science and Technology

摘　　要：以香格里拉县2009年Landsat5～TM遥感影像为实验数据，利用最太似然法（MLC）以及最小距离法两种方法进行了遥感分类方法研究，主要从分类精度方面对两种方法进行了对比分析，结果表明：承太似然法分类结果明显优于最小距离法，但作为传统的分类方法。二种方法分类精度都不够高。Taking the Shangri--La countys Landsat5--TM remote sensing image in 2009 as the experimental data,the article adopts the maximum likelihood method （MLC） and minimum distance method to study the remote sensing classification method, mainly from the aspects of classification accuracy to conduct compara- tive analysis of the two methods. The results show that the classification result of maximum likelihood is much better than that of the minimum distance method, but as the traditional classification method, these two methods＂ classification accuracy doesn＇t achieve the high accuracy as expected.

关 键 词：遥感 最大似然法 最小距离法 分类精度 

分 类 号：S758.61[农业科学—森林经理学]