Semantic Segmentation for Remote Sensing

This repo is the PyTorch implementation of some works related to remote sensing tasks.

Methods

SAM-based:

MFNet (IEEE TGRS 2025) (ESI Highly Cited Paper).

SAM_RS (IEEE TGRS 2024) (ESI Highly Cited Paper).

Mamba-based:

RS^3Mamba (IEEE GRSL 2024) (ESI Hot Paper).

Unsupervised Domain Adaptation (UDA):

GLGAN (IEEE TGRS 2024).

MBATA_GAN (IEEE TGRS 2023) (ESI Highly Cited Paper).

Multimodal Fusion:

MFNet (IEEE TGRS 2025) (ESI Highly Cited Paper).

ASMFNet (IEEE JSTARS 2024).

FTransUNet (IEEE TGRS 2024) (ESI Hot Paper).

CMFNet (IEEE JSTARS 2022) (ESI Highly Cited Paper).

MSFNet (IEEE IGARSS 2022).

Reference

For UDA:

For Segment Anything Model:

For Semantic Segmentation:

For Semantic Segmentation based on Mamba:

Datasets

Datasets including ISPRS Potsdam, ISPRS Vaihingen, loveDA can be downloaded here.

Dataset MMHunan can be downloaded here.

Scripts

There are some scripts in utils folder including: split images, merge images, draw loss curves.

Other Works

There are some other works in our group:

Scene Classification: DF4LCZ (IEEE TGRS 2024).

Change Detection: GCD-DDPM (IEEE TGRS 2024) (ESI Highly Cited Paper), GVLM (ISPRS 2023) (ESI Highly Cited Paper).

Super-resolution: ASDDPM (IEEE JSTARS 2024), GCRDN (IEEE JSTARS 2023).

Citations

If these codes are helpful for your study, please cite:

@ARTICLE{ma2024manet,
  author={Ma, Xianping and Zhang, Xiaokang and Pun, Man-On and Huang, Bo},
  journal={IEEE Transactions on Geoscience and Remote Sensing}, 
  title={A Unified Framework With Multimodal Fine-Tuning for Remote Sensing Semantic Segmentation}, 
  year={2025},
  volume={63},
  number={},
  pages={1-15}
}

@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={RS$^3$Mamba: 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}
}

Contact

Xianping Ma (xianpingma@ling.cuhk.edu.cn), (ma.xianping125@gmail.com)

SSRS

Install / Use

README