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...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	IEEE journal of selected topics in applied earth observations and remote sensing Ročník 8; číslo 6; s. 2447 - 2456
Hlavní autoři:	Ghamisi, Pedram, Ali, Abder-Rahman, Couceiro, Micael S., Benediktsson, Jon Atli
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	IEEE 01.06.2015
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!