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Class imaging of hyperspectral satellite remote sensing data using FLSOM

Villmann, Thomas ; Schleif, Frank-Michael ; Merenyi, E. ; Strickert, M. ; Hammer, Barbara



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Abstract:
We propose an extension of the self-organizing map for supervised fuzzy classification learning, whereby uncertain (fuzzy) class information is also allowed for training data. The method is able to detect class similarities, which can be used for data vizualization. Applying a special functional metric, derived from of the L_p norms, we show the application of the method for classification and visualization of hyper-spectral data in satellite image remote sensing image analysis.


Keywords: SOM, fuzzy classification, visualization
Institution: Faculty of Technology, Research Groups in Informatics
DDC classification: Data processing, computer science, computer systems

Suggested Citation:
Villmann, Thomas ; Schleif, Frank-Michael ; Merenyi, E. ; Strickert, M. ; Hammer, Barbara  (2007)  Class imaging of hyperspectral satellite remote sensing data using FLSOM.


URL: http://biecoll.ub.uni-bielefeld.de/volltexte/2007/128



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