This repo is the PyTorch implementation of some works related to remote sensing tasks.
SAM-based:
MFNet (arxiv)
SAM_RS (IEEE TGRS 2024).
Mamba-based:
RS^3Mamba (IEEE GRSL 2024).
Unsupervised Domain Adaptation (UDA):
GLGAN (IEEE TGRS 2024).
MBATA_GAN (IEEE TGRS 2023).
Multimodal Fusion:
MFNet (arxiv)
ASMFNet (IEEE JSTARS 2024)
FTransUNet (IEEE TGRS 2024).
CMFNet (IEEE JSTARS 2022).
MSFNet (IEEE IGARSS 2022).
For UDA:
For Segment Anything Model:
For Semantic Segmentation:
For Semantic Segmentation based on Mamba:
All datasets including ISPRS Potsdam, ISPRS Vaihingen, loveDA can be downloaded here.
There are some scripts in utils folder including: split images, merge images, draw loss curves.
There are some other works in our group:
Scene Classification: DF4LCZ (IEEE TGRS 2024).
Change Detection: GCD-DDPM (IEEE TGRS 2024), GVLM (ISPRS 2023).
Super-resolution: ASDDPM (IEEE JSTARS 2024), GCRDN (IEEE JSTARS 2023).
If these codes are helpful for your study, please cite:
@article{ma2024manet,
title={MANet: Fine-Tuning Segment Anything Model for Multimodal Remote Sensing Semantic Segmentation},
author={Ma, Xianping and Zhang, Xiaokang and Pun, Man-On and Huang, Bo},
journal={arXiv preprint arXiv:2410.11160},
year={2024}
}
@article{ma2024frequency,
author={Ma, Xianping and Zhang, Xiaokang and Ding, Xingchen and Pun, Man-On and Ma, Siwei},
journal={IEEE Transactions on Geoscience and Remote Sensing},
title={Decomposition-Based Unsupervised Domain Adaptation for Remote Sensing Image Semantic Segmentation},
year={2024},
volume={62},
number={},
pages={1-18}
}
@ARTICLE{ma2024rs3mamba,
author={Ma, Xianping and Zhang, Xiaokang and Pun, Man-On},
journal={IEEE Geoscience and Remote Sensing Letters},
title={RS3Mamba: Visual State Space Model for Remote Sensing Image Semantic Segmentation},
year={2024},
volume={},
number={},
pages={1-1}
}
@ARTICLE{ma2024ftransunet,
author={Ma, Xianping and Zhang, Xiaokang and Pun, Man-On and Liu, Ming},
journal={IEEE Transactions on Geoscience and Remote Sensing},
title={A Multilevel Multimodal Fusion Transformer for Remote Sensing Semantic Segmentation},
year={2024},
volume={62},
number={},
pages={1-15},
doi={10.1109/TGRS.2024.3373033}
}
@article{ma2024sam,
author={Ma, Xianping and Wu, Qianqian and Zhao, Xingyu and Zhang, Xiaokang and Pun, Man-On and Huang, Bo},
journal={IEEE Transactions on Geoscience and Remote Sensing},
title={SAM-Assisted Remote Sensing Imagery Semantic Segmentation With Object and Boundary Constraints},
year={2024},
volume={62},
pages={1-16},
}
@article{ma2023unsupervised,
title={Unsupervised domain adaptation augmented by mutually boosted attention for semantic segmentation of vhr remote sensing images},
author={Ma, Xianping and Zhang, Xiaokang and Wang, Zhiguo and Pun, Man-On},
journal={IEEE Transactions on Geoscience and Remote Sensing},
volume={61},
pages={1--15},
year={2023},
publisher={IEEE}
}
@ARTICLE{ma2024asmfnet,
author={Ma, Xianping and Xu, Xichen and Zhang, Xiaokang and Pun, Man-On},
journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
title={Adjacent-Scale Multimodal Fusion Networks for Semantic Segmentation of Remote Sensing Data},
year={2024},
volume={},
number={},
pages={1-13}
}
@article{ma2022crossmodal,
title={A crossmodal multiscale fusion network for semantic segmentation of remote sensing data},
author={Ma, Xianping and Zhang, Xiaokang and Pun, Man-On},
journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
volume={15},
pages={3463--3474},
year={2022},
publisher={IEEE}
}
@inproceedings{ma2022msfnet,
title={MSFNET: Multi-Stage Fusion Network for Semantic Segmentation of Fine-Resolution Remote Sensing Data},
author={Ma, Xianping and Zhang, Xiaokang and Pun, Man-On and Liu, Ming},
booktitle={IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium},
pages={2833--2836},
year={2022},
organization={IEEE}
}
Xianping Ma ([email protected]), ([email protected])