This repository contains the dataset link and the code for our paper MCCG: A ConvNeXt-based Multiple-Classifier Method for Cross-view Geo-localization, IEEE Transactions on Circuits and Systems for Video Technology. Thank you for your kindly attention.
- Download the University-1652 dataset
- Download the SUES-200 dataset
- Configuring the environment
- First you need to configure the torch and torchision from the pytorch website
-
pip install -r requirement.txt
The organization of the dataset.
More detailed about Univetsity-1652 dataset structure:
├── University-1652/
│ ├── train/
│ ├── drone/ /* drone-view training images
│ ├── 0001
│ ├── 0002
│ ...
│ ├── street/ /* street-view training images
│ ├── satellite/ /* satellite-view training images
│ ├── google/ /* noisy street-view training images (collected from Google Image)
│ ├── test/
│ ├── query_drone/
│ ├── gallery_drone/
│ ├── query_street/
│ ├── gallery_street/
│ ├── query_satellite/
│ ├── gallery_satellite/
│ ├── 4K_drone/
More detailed about SUES-200 dataset structure:
├── SUES-200/
│ ├── train/
│ ├── 150/
│ ├── drone/ /* drone-view training images
│ ├── 0001
│ ├── 0002
│ ...
│ ├── satellite/ /* satellite-view training images
│ ├── 200/
│ ├── 250/
│ ├── 300/
│ ├── test/
│ ├── 150/
│ ├── query_drone/
│ ├── gallery_drone/
│ ├── query_satellite/
│ ├── gallery_satellite/
│ ├── 200/
│ ├── 250/
│ ├── 300/
We provide scripts to complete MCCG training and testing
- Change the data_dir and test_dir paths in run.sh and then run:
bash run.sh
@ARTICLE{Shen2024MCCG,
author={Shen, Tianrui and Wei, Yingmei and Kang, Lai and Wan, Shanshan and Yang, Yee-Hong},
journal={IEEE Transactions on Circuits and Systems for Video Technology},
title={MCCG: A ConvNeXt-Based Multiple-Classifier Method for Cross-View Geo-Localization},
year={2024},
volume={34},
number={3},
pages={1456-1468},
keywords={Feature extraction;Drones;Task analysis;Image segmentation;Semantics;Satellites;Data mining;Cross-view;ConvNeXt;image retrieval;multiple feature representation},
doi={10.1109/TCSVT.2023.3296074}}