Spatial hyperspectral image classification by prior segmentation

In this paper, we propose a technique to incorporate spatial features in the classification of hyperspectral data by means of a prior segmentation of the dataset. The key idea of the technique is that each pixel is not classified individually, but that the regions obtained from the prior segmentatio...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Driesen, J., Thoonen, G., Scheunders, P.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Classification algorithms Clustering algorithms Covariance matrix Hyperspectral imaging Hyperspectral sensors Image classification Image segmentation Maximum likelihood estimation Multispectral imaging Pixel Remote sensing
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