This is the code of the paper "ASCNet: Asymmetric Sampling Correction Network for Infrared Image Destriping".[Paper] [Weight]
Shuai Yuan, Hanlin Qin, Xiang Yan, Shiqi Yang, Shuowen Yang, Naveed Akhtar, Huixin Zhou, IEEE Transactions on Geoscience and Remote Sensing 2025.
Paper：https://www.bilibili.com/video/BV1udCRB1EH8/
Code：https://www.bilibili.com/video/BV1LQCiBiEuV/
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| Mars | Building |
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| Road | Car |
Training dataset: [Data]
Training dataset augmentation: [Data_AUG]
Validation dataset: [clean], [dirty]
Test dataset：[Test Data]
python train.py3. Test and demo. [Weight]
python test.pyIf the implementation of this repo is helpful to you, just star it！⭐⭐⭐
If you find the code useful, please consider citing our paper using the following BibTeX entry.
@ARTICLE{10855453,
author={Yuan, Shuai and Qin, Hanlin and Yan, Xiang and Yang, Shiqi and Yang, Shuowen and Akhtar, Naveed and Zhou, Huixin},
journal={IEEE Transactions on Geoscience and Remote Sensing},
title={ASCNet: Asymmetric Sampling Correction Network for Infrared Image Destriping},
year={2025},
volume={63},
number={},
pages={1-15},
keywords={Noise;Discrete wavelet transforms;Semantics;Image reconstruction;Feature extraction;Neural networks;Filters;Crosstalk;Aggregates;Geoscience and remote sensing;Asymmetric sampling (AS);column correction;deep learning;infrared (IR) image destriping;wavelet transform},
doi={10.1109/TGRS.2025.3534838}}
Welcome to raise issues or email to yuansy@stu.xidian.edu.cn for any question regarding our ASCNet.
