A Rule Based Fuzzy Approach to the Classification of Man Made Objects in 
Satellite Image Data

Knoll, A.; Mueller, M.; Wolfram, A.; Grauel, A.; Becker, W.; Belli, F.; 1.4 Remote Sensing, 1.0 Geodesy and Remote Sensing, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum

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A Rule Based Fuzzy Approach to the Classification of Man Made Objects in Satellite Image Data

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Knoll, A.
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Mueller, M.
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Wolfram, A.
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Grauel, A.
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Becker, W.
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Belli, F.
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Knoll, A., Mueller, M., Wolfram, A. (1997): A Rule Based Fuzzy Approach to the Classification of Man Made Objects in Satellite Image Data, Proc. 4th Int. Workshop (Soest).

https://gfzpublic.gfz-potsdam.de/pubman/item/item_227244

Abstract

The architecture and implementation of a rule-based fuzzy approach to the detection and classification of man made objects in satellite image data are presented. In a first processing step fuzzy clustering is used to obtain an initial coarse presegmentation of the data. Subsequently, a rule-based fuzzy system performs the classification. Its rules are generated both manually (based on common-sense or higher level expert knowledge) and automatically by a neural network evaluating image features which are difficult to extract or to evaluate directly. Some experimental results, a discussion of the potential of the approach and directions of possible future research conclude the paper.