Multimodal Remote Sensing Benchmark Datasets for Land Cover Classification with A Shared and Specific Feature Learning Model

Danfeng Hong, Jingliang Hu, Jing Yao, Jocelyn Chanussot, Xiao Xiang Zhu

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The code in this toolbox implements the "Multimodal Remote Sensing Benchmark Datasets for Land Cover Classification with A Shared and Specific Feature Learning Model". More specifically, it is detailed as follow.

Citation

Please kindly cite the papers if this code is useful and helpful for your research.

Danfeng Hong, Jingliang Hu, Jing Yao, Jocelyn Chanussot, Xiao Xiang Zhu. Multimodal Remote Sensing Benchmark Datasets for Land Cover Classification with A Shared and Specific Feature Learning Model, ISPRS Journal of Photogrammetry and Remote Sensing, 2021, 178: 68-80.

 @article{hong2021multimodal,
  title     = {Multimodal Remote Sensing Benchmark Datasets for Land Cover Classification with A Shared and Specific Feature Learning Model},
  author    = {D. Hong and J. Hu and J. Yao and J. Chanussot and X. Zhu},
  journal   = {ISPRS J. Photogramm. Remote Sens.},
  volume    = {178},
  pages     = {68-80},
  year      = {2021}
 }

System-specific notes

The code were run with Matlab R2016a or higher versions on Windows 10 machines.

How to use it?

This toolbox consists of three multimodal feature learning appraoches, i.e., CoSpace-l2, CoSpace-l1, S2FL. More significantly, three multimodal remote sensing benchmark datasets, e.g., HS-MS Houston2013, HS-SAR Berlin, and HS-SAR-DSM Augsburg, are freely and openly available from the following link, contributing to the community. For more details, please refer to the paper.

Google drive: https://drive.google.com/file/d/1dLJJrNJpQoQeDHybs37iGxmrSU6aP2xv/view?usp=sharing

Baiduyun: https://pan.baidu.com/s/14OQW-9EpGRODOEnWfBXnag (access code: ekqq)

If these datasets and codes are helpful and useful for your research, please kindly cite our papers !!!

Licensing

Copyright (C) 2021 Danfeng Hong

This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, version 3 of the License.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program.

Contact Information:

Danfeng Hong: [email protected]
Danfeng Hong is with the Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR), 82234 Wessling, Germany, with the Univ. Grenoble Alpes, CNRS, Grenoble INP, GIPSA-lab, 38000 Grenoble, France.