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...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on geoscience and remote sensing Jg. 57; H. 10; S. 7872 - 7882
Hauptverfasser:	Tong, Lyuyang, Du, Bo, Liu, Rong, Zhang, Liangpei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.10.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	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
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!