Comparative Study of Intrinsic Dimensionality Estimation and Dimension Reduction Techniques on Hyperspectral Images Using K-NN Classifier

@article{Hasanlou2012ComparativeSO,
  title={Comparative Study of Intrinsic Dimensionality Estimation and Dimension Reduction Techniques on Hyperspectral Images Using K-NN Classifier},
  author={Mahdi Hasanlou and Farhad Samadzadegan},
  journal={IEEE Geoscience and Remote Sensing Letters},
  year={2012},
  volume={9},
  pages={1046-1050}
}
Nowadays, hyperspectral remote sensors are readily available for monitoring the Earth's surface with high spectral resolution. The high-dimensional nature of the data collected by such sensors not only increases computational complexity but also can degrade classification accuracy. To address this issue, dimensionality reduction (DR) has become an important aid to improving classifier efficiency on these images. The common approach to decreasing dimensionality is feature extraction by… CONTINUE READING
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