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Fuzzy Clustering of a Landsat TM Scene

Authors Beichel Reinhard, Bolter R., Pinz Axel
Appeared in

In Proceedings of IGARSS'99, Hamburg, Germany, 1999.

Date  1999
Abstract

Emerging new sensors deliver an ever increasing amount of remote sensing data. Classification still plays a key role in the automatic evaluation of these data. In this paper the characteristics of unsupervised fuzzy classification methods are examined and the results obtained from a section of a Landsat TM scene from the surroundings of Vienna are compared with various supervised classification methods.

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