Remote Sensing Scene Classification by Unsupervised Representation Learning

@article{Lu2017RemoteSS,
  title={Remote Sensing Scene Classification by Unsupervised Representation Learning},
  author={Xiaoqiang Lu and Xiangtao Zheng and Yuan Yuan},
  journal={IEEE Transactions on Geoscience and Remote Sensing},
  year={2017},
  volume={55},
  pages={5148-5157}
}
With the rapid development of the satellite sensor technology, high spatial resolution remote sensing (HSR) data have attracted extensive attention in military and civilian applications. In order to make full use of these data, remote sensing scene classification becomes an important and necessary precedent task. In this paper, an unsupervised representation learning method is proposed to investigate deconvolution networks for remote sensing scene classification. First, a shallow weighted… CONTINUE READING
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