Cite PanCollecton

If PanCollection is helpful for you, you are encouraged to cite the following paper:

@misc{PanCollection,
    author = {Xiao Wu, Liang-Jian Deng and Ran Ran},
    title = {"PanCollection" for Remote Sensing Pansharpening},
    url = {https://github.com/XiaoXiao-Woo/PanCollection/},
    year = {2022},
}

@ARTICLE{deng2022grsm,
author={L.-J. Deng, G. Vivone, M. E. Paoletti, G. Scarpa, J. He, Y. Zhang, J. Chanussot, and A. Plaza},
booktitle={IEEE Geoscience and Remote Sensing Magazine},
title={Machine Learning in Pansharpening: A Benchmark, from Shallow to Deep Networks},
year={2022},
pages={2-38},
doi={10.1109/MGRS.2020.3019315}
}

For Chinese Paper,

@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}
   }

Also, the codes of traditional methods are from the “pansharpening toolbox for distribution”, thus please cite the corresponding paper:

@ARTICLE{vivone2021grsm,
  author={Vivone, Gemine and Dalla Mura, Mauro and Garzelli, Andrea and Restaino, Rocco and Scarpa, Giuseppe and Ulfarsson, Magnus O. and   Alparone, Luciano and Chanussot, Jocelyn},
  journal={IEEE Geoscience and Remote Sensing Magazine}, 
  title={A New Benchmark Based on Recent Advances in Multispectral Pansharpening: Revisiting Pansharpening With Classical and Emerging Pansharpening Methods}, 
  year={2021},
  volume={9},
  number={1},
  pages={53-81},
  doi={10.1109/MGRS.2020.3019315}
}