• [Chinese Webpage]

• Recommendation: Use the code-toolbox [DLPan-Toolbox] + the dataset [PanCollection] for fair training and testing!

• Also, a dataset [HyperPanCollection] for another similar task, i.e., hyperspectral pansharpening!

• Latest Update (Dec. 11, 2022): we updated full-resolution test examples that contain more different imgae scenes.

• Latest Update (Mar. 20, 2023): one testing example in reduce-resolution format for WV3 sensor is not consistent with the one in full-resolution format, we have fixed it.

Note: H5 files have same data with mat files (but with different formats) which can be used for single image test

Note: This data is only used for the test of network generalization, thus no training dataset!

• Use [Baidu Cloud] to download these datasets.

Note: This data is only used for the test of network generalization, thus no training dataset!

More details about the similation procedure of datasets, you may check the following two papers:

@ARTICLE{dengjig2022,
	author={邓良剑，冉燃，吴潇，张添敬},
	journal={中国图象图形学报},
	title={遥感图像全色锐化的卷积神经网络方法研究进展},
 	year={2022},
  	volume={},
  	number={9},
  	pages={},
  	doi={10.11834/jig.220540}
   }

and

@ARTICLE{deng2022vivone,
	author={L. -J. Deng, G. Vivone, M. E. Paoletti, G. Scarpa, J. He, Y. Zhang, J. Chanussot, and A. Plaza},
	journal={IEEE Geoscience and Remote Sensing Magazine}, 
	title={Machine Learning in Pansharpening: A Benchmark, from Shallow to Deep Networks}, 
	year={2022},
	volume={10},
	number={3},
	pages={279-315},
	doi={10.1109/MGRS.2022.3187652}
   }

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