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Proceedings Paper

The selection of inherent channels of hyperspectral data with volume method
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Paper Abstract

We analyze the inherent channels of hyperspectral data with convex geometry analysis method. In this paper, a method-Volume Method, which selects the inherent channels of hyperspectral data, is presented. The concept of convexity geometry can be used to great advantage in the analysis of hyperspectral data. Convex simplex and inherent dimensionality concept is discussed on base of convex geometry. A set of 252-band hyperspectral data is applied to testify the Volume Method. The endmember proportions are calculated in the inherent dimensional space whose channels are selected by the Volume Method, compared with Constrained Least Squares Method in 252-space.

Paper Details

Date Published: 8 February 2005
PDF: 7 pages
Proc. SPIE 5637, Electronic Imaging and Multimedia Technology IV, (8 February 2005); doi: 10.1117/12.569857
Show Author Affiliations
Yanjun Gong, Xidian Univ. (China)
Yantai Univ. (China)
Jiaji Wu, Xidian Univ. (China)
Zhensen Wu, Xidian Univ. (China)
Xichang Wang, Yantai Univ. (China)
Dongcao Song, Yantai Univ. (China)
Wenying Yu, Yantai Univ. (China)


Published in SPIE Proceedings Vol. 5637:
Electronic Imaging and Multimedia Technology IV
Chung-Sheng Li; Minerva M. Yeung, Editor(s)

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