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

fYear

2012

fDate

14-17 Oct. 2012

Firstpage

2371

Lastpage

2376

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICSMC.2012.6378097

Filename

6378097