A HYPERSPECTRAL BAND SELECTION BASED ON GAME THEORY AND DIFFERENTIAL EVOLUTION ALGORITHM

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International Journal on Smart Sensing and Intelligent Systems

Professor Subhas Chandra Mukhopadhyay

Exeley Inc. (New York)

Subject: Computational Science & Engineering, Engineering, Electrical & Electronic

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VOLUME 9 , ISSUE 4 (December 2016) > List of articles

A HYPERSPECTRAL BAND SELECTION BASED ON GAME THEORY AND DIFFERENTIAL EVOLUTION ALGORITHM

Aiye Shi * / Hongmin Gao / Zhenyu He / Min Li / Lizhong Xu

Keywords : Remote Sensing, Hyperspectral imagery, band selection, game theory, differential evolution algorithm.

Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 9, Issue 4, Pages 1,971-1,990, DOI: https://doi.org/10.21307/ijssis-2017-948

License : (CC BY-NC-ND 4.0)

Received Date : 18-March-2016 / Accepted: 19-October-2016 / Published Online: 01-December-2016

ARTICLE

ABSTRACT

This paper uses the combination of information and class separability as a new evaluation criterion for hyperspectral imagery. Moreover, the correlation between bands is used as a constraint condition. The differential evolution algorithm is adopted during the search of optimal band combination. In addition, the game theory is introduced into the band selection to coordinate the potential conflict of searching the optimal band combination using information and class separability these two evaluation criteria. The experimental results show that the proposed method is effective.

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