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A novel deep hashing method (DHCNN) for remote sensing image retrieval and classification, which was pulished in IEEE Trans. Geosci. Remote Sens., 2021.

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DHCNN_for_TGRS2021

DHCNN implementation for TGRS2021 paper "Deep Hashing Learning for Visual and Semantic Retrieval of Remote Sensing Images".

This is the code implementation for our paper "Deep Hashing Learning for Visual and Semantic Retrieval of Remote Sensing Images", IEEE Trans. Geosci. Remote Sens, 2021.

Here, we provide two visions, i.e., DHCNN-Matconvnet and DHCNN-Pytorch. You can choise one of them to reimplement the results in our paper.

If you use this code in your work, please kindly cite our paper:

@article{song2020deep, title={Deep hashing learning for visual and semantic retrieval of remote sensing images},

author={Song, Weiwei and Li, Shutao and Benediktsson, J{'o}n Atli},

journal={IEEE Transactions on Geoscience and Remote Sensing},

year={DOI: 10.1109/TGRS.2020.3035676, 2020},

publisher={IEEE}

}

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A novel deep hashing method (DHCNN) for remote sensing image retrieval and classification, which was pulished in IEEE Trans. Geosci. Remote Sens., 2021.

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