Download University-1652 upon request. You may use the request template.
1. Download the pre-trained weight: net_350.pth
(https://drive.google.com/file/d/1l2Dh7BtwafSZ9abPWuJ9maov2cCYUS8U/view?usp=sharing)
2. Move the weight to ./model/pretrained/
3. setting pad_value==0 in runt.sh
4. sh test.sh
If you want to adjust padding pixels, change pad_value of runt.sh.
If you want to adjust padding patterns, change line 115 of image_folder.py.
For (+P,0), img = transforms.functional.pad(img,(self.pad,0,0,0),padding_mode='reflect')
For (+P,+P), img = transforms.functional.pad(img,(self.pad,self.pad,0,0),padding_mode='reflect')
For (-P,-P), img = transforms.functional.pad(img,(0,0,self.pad,self.pad),padding_mode='reflect')
For (+P,-P), img = transforms.functional.pad(img,(self.pad,0,0,self.pad),padding_mode='reflect')
For (-P,+P), img = transforms.functional.pad(img,(0,self.pad,self.pad,0),padding_mode='reflect')
@article{wang2024multiple,
title={Multiple-environment Self-adaptive Network for Aerial-view Geo-localization},
author={Wang, Tingyu and Zheng, Zhedong and Sun, Yaoqi and Yan, Chenggang and Yang, Yi and Chua, Tat-Seng},
journal={Pattern Recognition},
volume={152},
pages={110363},
year={2024},
publisher={Elsevier}
}@inproceedings{chen2023cross,
title={A Cross-View Matching Method Based on Dense Partition Strategy for UAV Geolocalization},
author={Chen, Yireng and Yang, Zihao and Chen, Quan},
booktitle={Proceedings of the 2023 Workshop on UAVs in Multimedia: Capturing the World from a New Perspective},
pages={19--23},
year={2023}
}@inproceedings{li2023drone,
title={Drone Satellite Matching based on Multi-scale Local Pattern Network},
author={Li, Haoran and Chen, Quan and Yang, Zhiwen and Yin, Jiong},
booktitle={Proceedings of the 2023 Workshop on UAVs in Multimedia: Capturing the World from a New Perspective},
pages={51--55},
year={2023}
}The codes are based on LPN and FSRA. Please consider citing them.
@ARTICLE{wang2021LPN,
title={Each Part Matters: Local Patterns Facilitate Cross-View Geo-Localization},
author={Wang, Tingyu and Zheng, Zhedong and Yan, Chenggang and Zhang, Jiyong and Sun, Yaoqi and Zheng, Bolun and Yang, Yi},
journal={IEEE Transactions on Circuits and Systems for Video Technology},
year={2022},
volume={32},
number={2},
pages={867-879},
doi={10.1109/TCSVT.2021.3061265}}@ARTICLE{9648201,
author={Dai, Ming and Hu, Jianhong and Zhuang, Jiedong and Zheng, Enhui},
journal={IEEE Transactions on Circuits and Systems for Video Technology},
title={A Transformer-Based Feature Segmentation and Region Alignment Method for UAV-View Geo-Localization},
year={2022},
volume={32},
number={7},
pages={4376-4389},
keywords={Transformers;Heating systems;Feature extraction;Drones;Satellites;Task analysis;Location awareness;Image retrieval;geo-localization;transformer;drone},
doi={10.1109/TCSVT.2021.3135013}}