A multiple classifier approach for spectral-spatial classification of hyperspectral data

Abstract

A new multiple classifier method for spectral-spatial classification of hyperspectral images is proposed. Several classifiers are used independently to classify an image. For every pixel, if all the classifiers have assigned this pixel to the same class, the pixel is kept as a marker, i.e., a seed of the spatial region, with the corresponding class label… (More)
DOI: 10.1109/IGARSS.2010.5649222

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Cite this paper

@article{Tarabalka2010AMC, title={A multiple classifier approach for spectral-spatial classification of hyperspectral data}, author={Yuliya Tarabalka and Jon Atli Benediktsson and Jocelyn Chanussot and James C. Tilton}, journal={2010 IEEE International Geoscience and Remote Sensing Symposium}, year={2010}, pages={1410-1413} }