HD-Net: High-Resolution Decoupled Network for Building Footprint Extraction via Deeply Supervised Body and Boundary Decomposition
Yuxuan Li, Danfeng Hong, Chenyu Li, Jing Yao, Jocelyn Chanussot
The code in this toolbox implements the "HD-Net: High-Resolution Decoupled Network for Building Footprint Extraction via Deeply Supervised Body and Boundary Decomposition".
The motivation of image-level and feature-level decoupling in building footprint extraction.
The architecture of the proposed HD-Net.
Please kindly cite the papers if this code is useful and helpful for your research.
Yuxuan Li, Danfeng Hong, Chenyu Li, Jing Yao, Jocelyn Chanussot. HD-Net: High-Resolution Decoupled Network for Building Footprint Extraction via Deeply Supervised Body and Boundary Decomposition. ISPRS Journal of Photogrammetry and Remote Sensing, 2024, 209: 51-65.
@article{li2024HD,
title={HD-Net: High-Resolution Decoupled Network for Building Footprint Extraction via Deeply Supervised Body and Boundary Decomposition},
author={Li, Yuxuan and Hong, Danfeng and Li, Chenyu and Yao, Jing and Chanussote, Jocelyn},
journal={ISPRS Journal of Photogrammetry and Remote Sensing},
volume={209},
pages={51-65},
year={2024}
}
Please refer to the file requirements.txt for the running environment of this code.
❗ The pretrained model and datasets can be downloaded from here with key y2a0 or here.
❗ The investigated three building datasets can be accessed from Massachusetts, WHU, Inria.
Copyright (C) 2024 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.
Danfeng Hong: hongdanfeng1989@gmail.com
Danfeng Hong is with the Aerospace Information Research Institute, Chinese Academy of Sciences, 100094 Beijing, China.