Deep Learning With Attribute Profiles for Hyperspectral Image Classification

@article{Aptoula2016DeepLW,
  title={Deep Learning With Attribute Profiles for Hyperspectral Image Classification},
  author={Erchan Aptoula and Murat Can Ozdemir and Berrin A. Yanikoglu},
  journal={IEEE Geoscience and Remote Sensing Letters},
  year={2016},
  volume={13},
  pages={1970-1974}
}
Effective spatial-spectral pixel description is of crucial significance for the classification of hyperspectral remote sensing images. Attribute profiles are considered as one of the most prominent approaches in this regard, since they can capture efficiently arbitrary geometric and spectral properties. Lately though, the advent of deep learning in its various forms has also led to remarkable classification performances by operating directly on hyperspectral input. In this letter, we explore… CONTINUE READING
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