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

Ke Zhu; Yulun An; Yuehong Zhang

doi:10.1117/12.870994

16 November 2010 Research on the classification of karst rocky desertification based on hyperspectral remote sensing images

Ke Zhu, Yulun An, Yuehong Zhang

Author Affiliations +

Proceedings Volume 7857, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques, and Applications III; 78571O (2010) https://doi.org/10.1117/12.870994
Event: SPIE Asia-Pacific Remote Sensing, 2010, Incheon, Korea, Republic of

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.

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Ke Zhu, Yulun An, and Yuehong Zhang "Research on the classification of karst rocky desertification based on hyperspectral remote sensing images", Proc. SPIE 7857, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques, and Applications III, 78571O (16 November 2010); https://doi.org/10.1117/12.870994

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KEYWORDS

Remote sensing

Library classification systems

Reflectivity

Vegetation

Image classification

Hyperspectral imaging

Soil science

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