Unsupervised Feature Learning for Aerial Scene Classification

@article{Cheriyadat2014UnsupervisedFL,
  title={Unsupervised Feature Learning for Aerial Scene Classification},
  author={Anil M. Cheriyadat},
  journal={IEEE Transactions on Geoscience and Remote Sensing},
  year={2014},
  volume={52},
  pages={439-451}
}
The rich data provided by high-resolution satellite imagery allow us to directly model aerial scenes by understanding their spatial and structural patterns. While pixel- and object-based classification approaches are widely used for satellite image analysis, often these approaches exploit the high-fidelity image data in a limited way. In this paper, we explore an unsupervised feature learning approach for scene classification. Dense low-level feature descriptors are extracted to characterize… CONTINUE READING
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