植被高光谱遥感分类方法研究

结合具体的OMISI高光谱遥感数据，对各种常用植被高光谱遥感分类方法进行分类训练，通过比较分类性能，得到各种方法在植被高光谱分类中的若干应用规律和分类过程中选择最优分类方法的一些技巧。在此基础上，提出将传统分类方法与基于光谱特征匹配的分类方法相结合对高光谱图像进行分类的方法。

Vegetation Classification Methods Based on Hyperspectral Remote Sensing

This paper performs classification training for a variety of vegetation classification methods with hyper- spectral remote sensing, and compares their performances combining with concrete OMIS I hyperspectral remote sensing data, and then obtains some application laws of these methods used in vegetation classification based on hyperspectralremote sensing, and some skills of selecting optimum methods in hyperspectral vegetation classifica- tions, Then, it presents a classification method that combines the traditional classification method with the classifi- cation method based on spectral features match, which can be used for classifying the hyperspectral images,