An Improved Multiobjective Discrete Particle Swarm Optimization for Hyperspectral Endmember Extraction

Endmember extraction (EE) is a significant task in hyperspectral unmixing. From a multiobjective optimization perspective, this task is extremely challenging because objectives often conflict with each other. Currently, a multiobjective discrete particle swarm optimization algorithm (MODPSO) is appl...

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Vydané v:	IEEE transactions on geoscience and remote sensing Ročník 57; číslo 10; s. 7872 - 7882
Hlavní autori:	Tong, Lyuyang, Du, Bo, Liu, Rong, Zhang, Liangpei
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.10.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Accuracy Algorithms Discrete particle swarm optimization (DPSO) endmember extraction (EE) Exploitation Exploration Hyperspectral imaging Indexes Least squares Linear programming Minimization multiobjective optimization Multiple objective analysis Optimization Particle swarm optimization Probability theory Root-mean-square errors
ISSN:	0196-2892, 1558-0644
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