Chen-Yang-Liu/PromptCC

[IEEE TGRS 2023 🔥] A Decoupling Paradigm With Prompt Learning for Remote Sensing Image Change Captioning'

25
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Experimental

This project helps remote sensing analysts or environmental monitoring professionals automatically describe changes observed in satellite or aerial imagery. You provide two remote sensing images of the same area taken at different times, and it generates a text description outlining what has changed. This is ideal for quickly identifying and documenting environmental shifts, urban development, or disaster impact.

No commits in the last 6 months.

Use this if you need to automatically generate human-readable captions describing changes between pairs of remote sensing images.

Not ideal if you're looking for a tool to detect changes without generating a descriptive text, or if your images are not remote sensing data.

remote-sensing environmental-monitoring geospatial-analysis change-detection disaster-response
No License Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 7 / 25
Maturity 8 / 25
Community 8 / 25

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Stars

38

Forks

3

Language

Python

License

Last pushed

Jul 27, 2025

Commits (30d)

0

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