/Spatiotemporal-fusion-data

Data for evaluation of remote sensing spatiotemporal fusion algorithm

Spatiotemporal-fusion-data

Data for evaluation of remote sensing spatiotemporal fusion algorithm

2023.05.19: Corrected the error in calculating SSIM: we found that the results of SSIM were squared. The correct evaluation results have been re-uploaded.

The complete datasets, quantitative comparison data for OL—fusion experiments

D. Guo, W. Shi, H. Zhang and M. Hao, "A Flexible Object-Level Processing Strategy to Enhance the Weight Function-Based Spatiotemporal Fusion Method," in IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-11, 2022, Art no. 4414811, doi: 10.1109/TGRS.2022.3212474.

OL-fusion: https://github.com/Andy-cumt/Object-level-spatiotemporal-fusion-models