Published June 6, 2024
| Version v1.0
Dataset
Open
OpenMapCD: A Multimodal Benchmark Dataset for Change Detection Between Optical Remote Sensing and Map Data
Authors/Creators
Description
Overview:
- OpenMapCD, the first large-scale multimodal dataset for change detection on optical remote sensing imagery and map (OpenStreetMap) data, supporing basic binary change detection and further semantic change detection
- OpenMapCD is highly geographically diverse, with 1288 benchmark samples with 1024x1024 pixels from 40 regions across six continents and out-of-distribution data in two areas in Japan
- Advancing land-cover mapping, binary change detection and semantic change detection tasks, and GIS system updating
Research Paper:
- Arxiv paper: https://arxiv.org/html/2310.02674v3
- TGRS paper: https://ieeexplore.ieee.org/document/10551264
Project Page:
The benchmark code is available at: https://github.com/ChenHongruixuan/ObjFormer
Reference:
@ARTICLE{Chen2024ObjFormer,
author={Chen, Hongruixuan and Lan, Cuiling and Song, Jian and Broni-Bediako, Clifford and Xia, Junshi and Yokoya, Naoto},
journal={IEEE Transactions on Geoscience and Remote Sensing},
title={ObjFormer: Learning Land-Cover Changes From Paired OSM Data and Optical High-Resolution Imagery via Object-Guided Transformer},
year={2024},
volume={62},
number={},
pages={1-22},
doi={10.1109/TGRS.2024.3410389}
}
Files
OpenMapCD.zip
Files
(4.3 GB)
| Name | Size | Download all |
|---|---|---|
|
md5:f2412e75e4e7edb81a7a4dfcfb64293c
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4.3 GB | Preview Download |
Additional details
Identifiers
Related works
- Is described by
- Publication: 10.1109/TGRS.2024.3410389 (DOI)
Dates
- Accepted
-
2024-06-06
Software
- Repository URL
- https://github.com/ChenHongruixuan/ObjFormer
- Programming language
- Python
References
- H. Chen, C. Lan, J. Song, C. Broni-Bediako, J. Xia and N. Yokoya, "ObjFormer: Learning Land-Cover Changes From Paired OSM Data and Optical High-Resolution Imagery via Object-Guided Transformer," in IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-22, 2024, Art no. 4408522, doi: 10.1109/TGRS.2024.3410389.