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Proceedings Paper

Convex geometry analysis method of hyperspectral data
Author(s): Yanjun Gong; XiChang Wang; Hongxing Qi; BingXi Yu
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Paper Abstract

We present matrix expression of convex geometry analysis method of hyperspectral data by linear mixing model and establish a mathematic model of endmembers. A 30-band remote sensing image is applied to testify the model. The results of analysis reveal that the method can analyze mixed pixel questions. The targets that are smaller than earth surface pixel can be identified by applying the method.

Paper Details

Date Published: 16 June 2003
PDF: 5 pages
Proc. SPIE 4897, Multispectral and Hyperspectral Remote Sensing Instruments and Applications, (16 June 2003); doi: 10.1117/12.467739
Show Author Affiliations
Yanjun Gong, Yantai Univ. (China)
XiChang Wang, Yantai Univ. (China)
Hongxing Qi, Yantai Univ. (China)
BingXi Yu, Changchun Institute of Optics, Fine Mechanics and Physics (China)


Published in SPIE Proceedings Vol. 4897:
Multispectral and Hyperspectral Remote Sensing Instruments and Applications
Allen M. Larar; Qingxi Tong; Makoto Suzuki, Editor(s)

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