ArbRPN

This is the official implementation of 'ArbRPN: A Bidirectional Recurrent Pansharpening Network for Multispectral Images with Arbitrary Numbers of Bands', Accepted by IEEE Transaction on Geoscience and Remote Sensing, [DOI:10.1109/TGRS.2021.3131228]

News

The bug of the Q2n metric is fixed by the codes from the following paper.

@ARTICLE{9447896,
  author={Vivone, Gemine and Dalla Mura, Mauro and Garzelli, Andrea and Pacifici, Fabio},
  journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing}, 
  title={A Benchmarking Protocol for Pansharpening: Dataset, Preprocessing, and Quality Assessment}, 
  year={2021},
  volume={14},
  number={},
  pages={6102-6118},
  doi={10.1109/JSTARS.2021.3086877}}

Requirements

Python 3.6

Pytorch >= 1.1

torchvision

pandas

PIL

opencv-python

numpy

random

scipy

importlib

Quick Test

python test.py -net_arch ArbRPN -opt options/test/test.yml -trained_model models/ArbRPN_QB_MIX4.pth

Training

To do.

Test

To do.

If you find these codes are helpful, please kindly cite

@ARTICLE{9627886,
  author={Chen, Lihui and Lai, Zhibing and Vivone, Gemine and Jeon, Gwanggil and Chanussot, Jocelyn and Yang, Xiaomin},
  journal={IEEE Transactions on Geoscience and Remote Sensing}, 
  title={ArbRPN: A Bidirectional Recurrent Pansharpening Network for Multispectral Images with Arbitrary Numbers of Bands}, 
  year={2022},
  volume={60},
  number={},
  pages={1-18},
  doi={10.1109/TGRS.2021.3131228}}