A Mutation Operator Accelerated Quantum-Behaved Particle Swarm Optimization Algorithm for Hyperspectral Endmember Extraction

The endmember extraction algorithm, which selects a collection of pure signature spectra for different materials, plays an important role in hyperspectral unmixing. In this paper, the endmember extraction algorithm is described as a combinatorial optimization problem and a novel Mutation Operator Ac...

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Bibliographic Details

Published in:	Remote Sensing
Main Authors:	Mingming Xu, Liangpei Zhang, Bo Du, Lefei Zhang, Yanguo Fan, Dongmei Song
Format:	Article
Language:	English
Published:	MDPI AG 2017-02-01
Subjects:	Quantum-Behaved Particle Swarm Optimization (QPSO) quantum-behaved endmember extraction hyperspectral image
Online Access:	http://www.mdpi.com/2072-4292/9/3/197