Feature Mining for Hyperspectral Image Classification

@article{Jia2013FeatureMF,
  title={Feature Mining for Hyperspectral Image Classification},
  author={Xiuping Jia and Bor-Chen Kuo and Melba M. Crawford},
  journal={Proceedings of the IEEE},
  year={2013},
  volume={101},
  pages={676-697}
}
Hyperspectral sensors record the reflectance from the Earth's surface over the full range of solar wavelengths with high spectral resolution. The resulting high-dimensional data contain rich information for a wide range of applications. However, for a specific application, not all the measurements are important and useful. The original feature space may not be the most effective space for representing the data. Feature mining, which includes feature generation, feature selection (FS), and… CONTINUE READING
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