Scene Classification via a Gradient Boosting Random Convolutional Network Framework

@article{Zhang2016SceneCV,
  title={Scene Classification via a Gradient Boosting Random Convolutional Network Framework},
  author={Fan Zhang and Bo Du and Liangpei Zhang},
  journal={IEEE Transactions on Geoscience and Remote Sensing},
  year={2016},
  volume={54},
  pages={1793-1802}
}
Due to the recent advances in satellite sensors, a large amount of high-resolution remote sensing images is now being obtained each day. How to automatically recognize and analyze scenes from these satellite images effectively and efficiently has become a big challenge in the remote sensing field. Recently, a lot of work in scene classification has been proposed, focusing on deep neural networks, which learn hierarchical internal feature representations from image data sets and produce state-of… CONTINUE READING
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