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Proceedings Paper

Research on the classification of karst rocky desertification based on hyperspectral remote sensing images
Author(s): Ke Zhu; Yulun An; Yuehong Zhang
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Paper Abstract

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.

Paper Details

Date Published: 16 November 2010
PDF: 9 pages
Proc. SPIE 7857, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques, and Applications III, 78571O (16 November 2010); doi: 10.1117/12.870994
Show Author Affiliations
Ke Zhu, Guizhou Normal Univ. (China)
Yulun An, Guizhou Normal Univ. (China)
Yuehong Zhang, Guizhou Normal Univ. (China)


Published in SPIE Proceedings Vol. 7857:
Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques, and Applications III
Allen M. Larar; Hyo-Sang Chung; Makoto Suzuki, Editor(s)

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