Cross-City Matters: A Multimodal Remote Sensing Benchmark Dataset for Cross-City Semantic Segmentation using High-Resolution Domain Adaptation Networks
Danfeng Hong, Bing Zhang, Hao Li, Yuxuan Li, Jing Yao, Chenyu Li, Martin Werner, Jocelyn Chanussot, Alexander Zipf, Xiao Xiang Zhu
The code in this toolbox implements the "Cross-City Matters: A Multimodal Remote Sensing Benchmark Dataset for Cross-City Semantic Segmentation using High-Resolution Domain Adaptation Networks". A new set of multimodal RS benchmark datasets (C2Seg) is built for the study purpose of the cross-city semantic segmentation task. The C2Seg datasets can also be used for organizing the "WHISPERS2023 Challenge 1: CROSS-CITY MULTIMODAL SEMANTIC SEGMENTATION CHALLENGE".
A high-resolution domain adaptation network utilizing adversarial learning (HighDAN) is devised to tackle this task.
Please kindly cite the papers if this code is useful and helpful for your research.
Danfeng Hong, Bing Zhang, Hao Li, Yuxuan Li, Jing Yao, Chenyu Li, Martin Werner, Jocelyn Chanussot, Alexander Zipf, Xiao Xiang Zhu. Cross-City Matters: A Multimodal Remote Sensing Benchmark Dataset for Cross-City Semantic Segmentation using High-Resolution Domain Adaptation Networks. Remote Sensing of Environment, 2023, 299: 113856.
@article{hong2023cross,
title={Cross-City Matters: A Multimodal Remote Sensing Benchmark Dataset for Cross-City Semantic Segmentation using High-Resolution Domain Adaptation Networks},
author={Hong, Danfeng and Zhang, Bing and Li, Hao and Li, Yuxuan and Yao, Jing and Li, Chenyu and Werner, Martin and Chanussote, Jocelyn and Zipf, Alexander and Zhu, Xiao Xiang},
journal={Remote Sensing of Environment},
volume={299},
pages={113856},
year={2023}
}
Please refer to the file requirements.txt for the running environment of this code.
❗ The pretrained model and datasets can be downloaded from the following links:
Baiduyun: https://pan.baidu.com/s/1WfQ-gWTm2TNXzW-1XEijOg?pwd=ag5k (access code: ag5k)
Google drive: https://drive.google.com/drive/folders/1S0nfxOwcyv3rMb7ibNA9tXW981vJhiin?usp=drive_link
Copyright (C) 2023 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.