Journal of Siberian Federal University. Engineering & Technologies / Hard and Fuzzy Clustering of the Earth Remote Sensing Data

Full text (.pdf)
Issue
Journal of Siberian Federal University. Engineering & Technologies. 2016 9 (7)
Authors
Asmus, Vasiliy V.; Buchnev, Aleksey A.; Pyatkin, Valeriy P.
Contact information
Asmus, Vasiliy V.: State Research Center of Space Hydrometeorology «Planeta», Rosgidromet 7 Bolshoi Predtechenskii Str., Moscow, 123242, Russia; Buchnev, Aleksey A.:Institute of Computational Mathematics 6 Akademika Lavrenteva, Novosibirsk, 630090, Russia; Pyatkin, Valeriy P.: Institute of Computational Mathematics 6 Akademika Lavrenteva, Novosibirsk, 630090, Russia; E-mail:
Keywords
remote sensing; clustering; hard clustering; fuzzy clustering
Abstract

The clustering system for processing of the Earth remote sensing data is discussed. The system consists of the next methods: K-means method, method of the multidimensional histograms modes analysis, hybrid method, which involves method of the multidimensional histograms modes analysis and the subsequent hierarchical grouping, and a number of fuzzy clustering algorithms

Pages
972-978
Paper at repository of SibFU
https://elib.sfu-kras.ru/handle/2311/28075

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