LoveDA

南京、常州、武汉5987张高空间分辨率（0.3 m）遥感影像 CitationIf you use LoveDA in your research, please cite our NeurIPS2021 paper. @inproceedings{NEURIPS DATASETS AND BENCHMARKS2021_4e732ced, author = {Wang, Junjue and Zheng, Zhuo and Ma, Ailong and Lu, Xiaoyan and Zhong, Yanfei}, booktitle = {Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks}, editor = {J. Vanschoren and S. Yeung}, pages = {}, publisher = {Curran Associates, Inc.}, title = {LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation}, url = {https://datasets-benchmarks-proceedings.neurips.cc/paper_files/paper/2021/file/4e732ced3463d06de0ca9a15b6153677-Paper-round2.pdf}, volume = {1}, year = {2021} } @dataset{junjue_wang_2021_5706578, author={Junjue Wang and Zhuo Zheng and Ailong Ma and Xiaoyan Lu and Yanfei Zhong}, title={Love{DA}: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation}, month=oct, year=2021, publisher={Zenodo}, doi={10.5281/zenodo.5706578}, url={https://doi.org/10.5281/zenodo.5706578} }

本数据集包含南京、常州、武汉三地的5987张空间分辨率为0.3米的高分辨率遥感影像。
引用说明：若您在研究中使用LoveDA（LoveDA）数据集，请引用我们发表于NeurIPS 2021的论文：
@inproceedings{NEURIPS DATASETS AND BENCHMARKS2021_4e732ced,
author = {王俊杰（Junjue Wang）、郑卓（Zhuo Zheng）、马爱龙（Ailong Ma）、卢晓燕（Xiaoyan Lu）、仲燕飞（Yanfei Zhong）},
booktitle = {神经信息处理系统数据集与基准赛道会议论文集（Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks）},
editor = {J. Vanschoren、S. Yeung},
pages = {},
publisher = {Curran Associates, Inc.},
title = {LoveDA：用于域自适应语义分割（Domain Adaptive Semantic Segmentation）的遥感土地覆盖数据集},
url = {https://datasets-benchmarks-proceedings.neurips.cc/paper_files/paper/2021/file/4e732ced3463d06de0ca9a15b6153677-Paper-round2.pdf},
volume = {1},
year = {2021}
}
@dataset{junjue_wang_2021_5706578,
author={王俊杰（Junjue Wang）、郑卓（Zhuo Zheng）、马爱龙（Ailong Ma）、卢晓燕（Xiaoyan Lu）、仲燕飞（Yanfei Zhong）},
title={LoveDA：用于域自适应语义分割（Domain Adaptive Semantic Segmentation）的遥感土地覆盖数据集},
month = {10月},
year = {2021},
publisher={Zenodo},
doi={10.5281/zenodo.5706578},
url={https://doi.org/10.5281/zenodo.5706578}
}

搜集汇总

背景与挑战

背景概述

LoveDA是一个用于领域自适应语义分割的遥感土地覆盖数据集，包含5987张高空间分辨率（0.3米）影像，覆盖南京、常州和武汉地区，旨在支持跨域视觉分析研究。该数据集发布于2021年NeurIPS会议，采用CC BY-NC-SA 4.0许可证，适用于语义分割算法开发。