Research on the classification of karst rocky desertification based on hyperspectral remote sensing images

被引：0
|
作者：
Zhu, Ke [1 ]
An, Yulun [1 ]
Zhang, Yuehong [1 ]
机构：
[1] Guizhou Normal Univ, Sch Geog & Environm Sci, Guiyang 550001, Peoples R China
来源：
MULTISPECTRAL, HYPERSPECTRAL, AND ULTRASPECTRAL REMOTE SENSING TECHNOLOGY, TECHNIQUES, AND APPLICATIONS III | 2010年 / 7857卷
关键词：
hyperspectral RS; karst rocky desertification; E0-1; Hyperion; spectral library;
D O I：
10.1117/12.870994
中图分类号：
TP7 [遥感技术];
学科分类号：
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要：
Karst landform is widely distributed in the Southwest of China where karst rocky desertification (KRD) is evolving from bad to worse. This paper establishes hyperspectral image intepretation symbols for KRD identification spectroscopically, in other word, KRD spectral library, provides a new operable method of image intepretation and conducts KRD classification with spectral angle mapper method. The study results can provide support for the status quo ecological survey and the eco-restoration of KRD area.
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收藏
页数：9
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