Skip to content

porcofly/MTV-Multi-view-Thermal-Visible-Image-Dataset

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

13 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

MTV:Multi-view-Thermal-Visible-Image-Dataset

This dataset is used for the task of thermal and visible image matching, and thermal image localization. It contains 5 different scenes, such as "building", "park", "countryside", etc.

Data source

All images and accompanying raw data are collected by ourselves using a DJI H20T camera and PSDK102S mounted on a DJI M300 RTK drone.

Data content

We provide pose for each thermal image, pose and depth map for the visible image, and the pairing relationship between them with relative path is made into .npz file for easy reading.

Data format

Datasets are organized in folders according to different scenarios. Each folder contains the following files:

MTV/
├── building/
│      ├── images/             # all images
│      ├── depths/             # depth map of visible images
│      ├── spares/             # model file of scene in COLMAP format
│      ├── T_pose/             # Thermal pose files
│      ├── xx_train.npz        # train file
│      ├── xx_val.npz          # validation file 
│      └── xx_test.npz         # test file
├── park
│   └── ...
└── villa
    └── ...

The folder names in the raw data correspond to the scenarios as follows:

  • building:jinxia
  • park:bxz
  • villa:biehsu
  • contryroad:contryroad
  • racing:Racing

Dataset usage

  • Download method: Click Baidu Cloud to download. Code:9863.
  • LoFTR checkpoint : Click Baidu Cloud to download. Code:4t7k.
  • License agreement: This dataset follows MIT License.
  • Citation format: If you use this dataset in your research or publication, please cite it as follows:
@article{liu2022multi,
  title={A Multi-View Thermal--Visible Image Dataset for Cross-Spectral Matching},
  author={Liu, Yuxiang and Liu, Yu and Yan, Shen and Chen, Chen and Zhong, Jikun and Peng, Yang and Zhang, Maojun},
  journal={Remote Sensing},
  volume={15},
  number={1},
  pages={174},
  year={2022},
  publisher={MDPI}
}

Dataset contributors

This dataset is created and maintained by Yuxiang Liu. If you have any questions or suggestions, please contact liuyuxiang17@nudt.edu.cn.

Other information

  • Dataset update record:
Date Version Description
March 21st, 2023 1.0 Release initial version
October 6th, 2023 1.1 Upload files for Loftr training and Testing

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published