Aggregating Rich Hierarchical Features for Scene Classification in Remote Sensing Imagery

@article{Wang2017AggregatingRH,
  title={Aggregating Rich Hierarchical Features for Scene Classification in Remote Sensing Imagery},
  author={Guoli Wang and Bin Fan and Shiming Xiang and Chunhong Pan},
  journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  year={2017},
  volume={10},
  pages={4104-4115}
}
Scene classification is one of the most important issues in remote sensing image processing. To obtain a high discriminative feature representation for an image to be classified, traditional methods usually consider to densely accumulate hand-crafted low-level descriptors (e.g., scale-invariant feature transform) by feature encoding techniques. However, the performance is largely limited by the hand-crafted descriptors as they are not capable of describing the rich semantic information… CONTINUE READING
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