9 December 2015 Game theory based band selection for hyperspectral images
Author Affiliations +
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.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Aiye Shi, Aiye Shi, Zhenyu He, Zhenyu He, Fengchen Huang, 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); doi: 10.1117/12.2227988; https://doi.org/10.1117/12.2227988
PROCEEDINGS
6 PAGES


SHARE
Back to Top