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Proceedings Paper

Game theory based band selection for hyperspectral images
Author(s): Aiye Shi; Zhenyu He; Fengchen Huang
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Paper Abstract

This paper proposes a new evaluation criterion for band selection for hyperspectral imagery. The combination of information and class separability is used to be as a new evaluation criterion, at the same time, the correlation between bands is used as a constraint condition. In addition, the game theory is introduced into the band selection to coordinate the potential conflict of search the optimal band combination using information and class separability these two evaluation criteria. The experimental results show that the proposed method is effective on AVIRIS hyperspectral data.

Paper Details

Date Published: 9 December 2015
PDF: 6 pages
Proc. SPIE 9817, Seventh International Conference on Graphic and Image Processing (ICGIP 2015), 981709 (9 December 2015); doi: 10.1117/12.2227988
Show Author Affiliations
Aiye Shi, Hohai Univ. (China)
Zhenyu He, Hohai Univ. (China)
Fengchen Huang, Hohai Univ. (China)


Published in SPIE Proceedings Vol. 9817:
Seventh International Conference on Graphic and Image Processing (ICGIP 2015)
Yulin Wang; Xudong Jiang, Editor(s)

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