Scene Classification via a Gradient Boosting Random Convolutional Network Framework

  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},
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
Highly Influential
This paper has highly influenced 11 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 123 citations. REVIEW CITATIONS


Publications citing this paper.
Showing 1-10 of 80 extracted citations

123 Citations

Citations per Year
Semantic Scholar estimates that this publication has 123 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-10 of 32 references

Similar Papers

Loading similar papers…