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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Bibliographic Details
Published in:	IEEE journal of selected topics in applied earth observations and remote sensing Vol. 8; no. 6; pp. 2447 - 2456
Main Authors:	Ghamisi, Pedram, Ali, Abder-Rahman, Couceiro, Micael S., Benediktsson, Jon Atli
Format:	Journal Article
Language:	English
Published:	IEEE 01.06.2015
Subjects:	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 Access:	Get full text
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