arplaboratory/STHN

[RA-L 2024] Official repository for "STHN: Deep Homography Estimation for UAV Thermal Geo-localization with Satellite Imagery"

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Emerging

This project helps operations engineers and first responders accurately pinpoint the location of drones equipped with thermal cameras using satellite imagery, especially during nighttime or low-visibility conditions. It takes in thermal images captured by a drone and standard satellite maps, then outputs the precise geographic coordinates where the drone's thermal view aligns with the satellite map. This is useful for anyone needing to accurately track drones or assess ground situations from aerial thermal data.

Use this if you need to precisely geo-localize UAV thermal imagery in situations where GPS might be unreliable or insufficient, such as search and rescue operations, surveillance, or infrastructure inspection.

Not ideal if your primary need is for visible-light drone imagery geo-localization or if you do not have access to corresponding satellite imagery for the operational area.

UAV operations thermal imaging geo-localization disaster response aerial surveying
No Package No Dependents
Maintenance 10 / 25
Adoption 9 / 25
Maturity 16 / 25
Community 10 / 25

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79

Forks

7

Language

Jupyter Notebook

License

MIT

Last pushed

Feb 28, 2026

Commits (30d)

0

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