Title :
Land cover classification using interval type-2 fuzzy clustering for multi-spectral satellite imagery
Author :
Ngo, Long Thanh ; Nguyen, Dzung Dinh
Author_Institution :
Dept. of Inf. Syst., Le Quy Don Tech. Univ., Hanoi, Vietnam
Abstract :
Land cover classification have been developed for specially surveillance of change of land and generating update information. The paper introduces an approach to classification of land cover from multi-spectral satellite imagery using interval type-2 c-means clustering. Two channels (Near Infrared - NIR and Visible Red - NR) are used to generate NDVI image of study area. Then IT2-FCM is used to classify NDVI into six sub-classes presenting for six types of land cover. The method is implemented for two study areas in comparing with ISODATA algorithm and FCM.
Keywords :
fuzzy set theory; geophysical image processing; image classification; pattern clustering; surveillance; terrain mapping; ISODATA algorithm; IT2-FCM; NDVI classification; NDVI image; interval type-2 c-means clustering; interval type-2 fuzzy clustering; land change surveillance; land cover classification; multispectral satellite imagery; near infrared-NIR channels; update information generation; visible red-NR channels; Clustering algorithms; Earth; Fuzzy sets; Remote sensing; Satellites; Uncertainty; Vegetation; Type-2 fuzzy sets; land cover classification; type-2 fuzzy c-means clustering;
Conference_Titel :
Systems, Man, and Cybernetics (SMC), 2012 IEEE International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4673-1713-9
Electronic_ISBN :
978-1-4673-1712-2
DOI :
10.1109/ICSMC.2012.6378097
