Game theory based band selection for hyperspectral images

Aiye Shi; Zhenyu He; Fengchen Huang

doi:10.1117/12.2227988

9 December 2015 Game theory based band selection for hyperspectral images

Aiye Shi, Zhenyu He, Fengchen Huang

Proceedings Volume 9817, Seventh International Conference on Graphic and Image Processing (ICGIP 2015); 981709 (2015) https://doi.org/10.1117/12.2227988
Event: Seventh International Conference on Graphic and Image Processing, 2015, Singapore, Singapore

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.

Citation Download Citation

Aiye Shi, Zhenyu He, and Fengchen Huang "Game theory based band selection for hyperspectral images", Proc. SPIE 9817, Seventh International Conference on Graphic and Image Processing (ICGIP 2015), 981709 (9 December 2015); https://doi.org/10.1117/12.2227988

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