Classification of Pansharpened Urban Satellite Images

@article{Palsson2012ClassificationOP,
  title={Classification of Pansharpened Urban Satellite Images},
  author={Frosti Palsson and J. R. Sveinsson and J. A. Benediktsson and Henrik Aanaes},
  journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  year={2012},
  volume={5},
  pages={281-297}
}
The classification of high resolution urban remote sensing imagery is addressed with the focus on classification of imagery that has been pansharpened by a number of different pansharpening methods. The pansharpening process introduces some spectral and spatial distortions in the resulting fused multispectral image, the amount of which highly varies depending on which pansharpening technique is used. In the majority of the pansharpening techniques that have been proposed, there is a compromise… CONTINUE READING
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Spectral information divergence for hyperspectral image analysis

  • C.-I. Chang
  • Proc. IEEE Int. Geoscience and Remote Sensing…
  • 1999
Highly Influential
7 Excerpts

Discrimination among semi-arid landscape endmembers using the Spectral Angle Mapper (SAM) algorithm

  • A.F.H. Goetz, R. H. Yuhas, J. W. Boardman
  • Summaries 3rd Annu. JPL Airborne Geoscience…
  • 1992
Highly Influential
5 Excerpts

A neural network approach using multi-scale textural metrics from very high resolution panchromatic imagery for urban land-use classification

  • W. J. Emery, F. Pacifici, M. Chini
  • Remote Sens. Environ., vol. 113, no. 6, pp. 1276…
  • 2009
Highly Influential
3 Excerpts

The use of small training sets containing mixed pixels for accurate hard image classification: Training on mixed spectral responses for classification by a SVM,”Remote

  • G. M. Foody, A. Mathur
  • Sens. Environ.,
  • 2006
1 Excerpt

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