| --- |
| license: mit |
| task_categories: |
| - image-to-image |
| size_categories: |
| - 1K<n<10K |
| --- |
| # Dataset Card for SAR2Opt |
|
|
| A collection of 600x600 SAR/EO image pairs at a spatial resolution of 1m. |
|
|
| ## Dataset Details |
|
|
| ### Dataset Description |
|
|
| **From the paper:** |
| We used TerraSAR-X to collect SAR images at the spatial resolution of 1 m of ten cities in |
| Asia, North America, Oceania, and Europe from 2007 to 2013. The corresponding optical images |
| collected from Google Earth Engine are coregistered to SAR images by manual selection of |
| control points. We extracted image patches of size 600×600 pixels from coregistered |
| SAR-to-optical image pairs to form the SAR2Opt dataset. |
|
|
| - **Curated by:** Yitao Zhao, Turgay Celik, Nanqing Liu, Heng-Chao Li |
| - **License:** MIT |
|
|
| ### Dataset Sources [optional] |
|
|
| - **Repository/Demo:** https://github.com/MarsZhaoYT/SAR2Opt-Heterogeneous-Dataset/tree/main |
| - **Paper:** https://ieeexplore.ieee.org/document/9779739 |
|
|
| ## Dataset Structure |
|
|
| The dataset is stored in two different formats, raw and combined. In raw format, fold A contains |
| the SAR images, and fold B contains the EO images. In combined format, the SAR and EO images are |
| concatenated (as required by pix2pix). In both formats, the train/test splits are unchanged |
| from the authors' original splits. |
|
|
| ## Citation [optional] |
|
|
| **BibTeX:** |
|
|
| @article{zhao2022comparative, |
| title={A Comparative Analysis of GAN-based Methods for SAR-to-Optical Image Translation}, |
| author={Zhao, Yitao and Celik, Turgay and Liu, Nanqing and Li, Heng-Chao}, |
| journal={IEEE Geoscience and Remote Sensing Letters}, |
| year={2022}, |
| publisher={IEEE} |
| } |
|
|
| ## Dataset Card Authors [optional] |
|
|
| Zach Button, University of Missouri - Kansas City |
|
|
| ## Dataset Card Contact |
|
|
| zb7df@umsystem.edu |
