GPU-based acceleration of interval type-2 fuzzy c-means clustering for satellite imagery land-cover classification

Ngo, Long Thanh; Mai, Dinh Sinh; Nguyen, Mau Uyen

doi:10.1109/isda.2012.6416674

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

GPU-based acceleration of interval type-2 fuzzy c-means clustering for satellite imagery land-cover classification

Cited by 7 publications

References 12 publications

Approach the Interval Type-2 Fuzzy System and PSO Technique in Landcover Classification

Approach the Interval Type-2 Fuzzy System and PSO Technique in Landcover Classification

The performances of iterative type-2 fuzzy C-mean on GPU for image segmentation

Improving the Efficiency of Land Cover Classification by Combining Segmentation, Hierarchical Clustering, and Active Learning

Contact Info

Product

Resources

About