A Novel Evolutionary Swarm Fuzzy Clustering Approach for Hyperspectral Imagery

In land cover assessment, classes often gradually change from one to another. Therefore, it is difficult to allocate sharp boundaries between different classes of interest. To overcome this issue and model such conditions, fuzzy techniques that resemble human reasoning have been proposed as alternat...

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Veröffentlicht in:	IEEE journal of selected topics in applied earth observations and remote sensing Jg. 8; H. 6; S. 2447 - 2456
Hauptverfasser:	Ghamisi, Pedram, Ali, Abder-Rahman, Couceiro, Micael S., Benediktsson, Jon Atli
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 01.06.2015
Schlagworte:	Accuracy Clustering Clustering algorithms Clustering methods fractional order Darwinian particle swarm optimization (FODPSO) fuzzy C-means (FCM) hyperspectral image analysis Hyperspectral imaging support vector machine (SVM) classifier Support vector machines Training fuzzy C-means (FCM) fractional order Darwinian particle swarm optimization (FODPSO) support vector machine (SVM) classifier Clustering hyperspectral image analysis
ISSN:	1939-1404, 2151-1535
Online-Zugang:	Volltext
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