Segmentation and Classification of Hyperspectral Data using Watershed

@article{Tarabalka2008SegmentationAC,
  title={Segmentation and Classification of Hyperspectral Data using Watershed},
  author={Yuliya Tarabalka and Jocelyn Chanussot and Jon Atli Benediktsson and Jes{\'u}s Angulo and Mathieu Fauvel},
  journal={IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium},
  year={2008},
  volume={3},
  pages={III - 652-III - 655}
}
The paper presents a new segmentation and classification scheme to analyze hyperspectral (HS) data. The Robust Color Morphological Gradient of the HS image is computed, and the watershed transformation is applied to the obtained gradient. After the pixel-wise Support Vector Machines classification, the majority voting within the watershed regions is performed. Experimental results are presented on a 103-airborne ROSIS image, of the University of Pavia, Italy. The integration of the spatial… CONTINUE READING
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