Spectral and spatial classification of hyperspectral data using SVMs and morphological profiles

@article{Fauvel2007SpectralAS,
  title={Spectral and spatial classification of hyperspectral data using SVMs and morphological profiles},
  author={Mathieu Fauvel and Jon Atli Benediktsson and Jocelyn Chanussot and Johannes R. Sveinsson},
  journal={2007 IEEE International Geoscience and Remote Sensing Symposium},
  year={2007},
  pages={4834-4837}
}
Classification of hyperspectral data with high spatial resolution from urban areas is discussed. An approach has been proposed which is based on using several principal components from the hyperspectral data and build morphological profiles. These profiles can be used all together in one extended morphological profile. A shortcoming of the approach is that it is primarily designed for classification of urban structures and it does not fully utilize the spectral information in the data… CONTINUE READING
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Theory Methods in Multispectral Remote Sensing

  • D. A. Landgrebe, Signal
  • 2003
Highly Influential
10 Excerpts

O ne-class classification for mapping a specific land-cover class: SVDD c lassification of fenland

  • C. Sanchez-Hernandez, D. S. Boydand, G. M. Foody
  • IEEE Trans. Geosci. Remote Sens. , vol. 45, no…
  • 2007
1 Excerpt

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