Efficient Saliency-Based Object Detection in Remote Sensing Images Using Deep Belief Networks

@article{Diao2016EfficientSO,
  title={Efficient Saliency-Based Object Detection in Remote Sensing Images Using Deep Belief Networks},
  author={Wenhui Diao and Xian Sun and Xinwei Zheng and Fangzheng Dou and Hongqi Wang and Kun Fu},
  journal={IEEE Geoscience and Remote Sensing Letters},
  year={2016},
  volume={13},
  pages={137-141}
}
Object detection has been one of the hottest issues in the field of remote sensing image analysis. In this letter, an efficient object detection framework is proposed, which combines the strength of the unsupervised feature learning of deep belief networks (DBNs) and visual saliency. In particular, we propose an efficient coarse object locating method based on a saliency mechanism. The method could avoid an exhaustive search across the image and generate a small number of bounding boxes, which… CONTINUE READING
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