isaaccorley/a-change-detection-reality-check
Code and experiments for the paper, "A Change Detection Reality Check", Corley et al.
This project provides an easy-to-use toolkit for identifying changes in satellite and aerial imagery. You input two images of the same area taken at different times, and it highlights exactly where changes have occurred. It's ideal for urban planners, environmental monitors, or anyone needing to track landscape evolution over time.
No commits in the last 6 months.
Use this if you need to reliably detect changes between two remote sensing images without requiring complex, cutting-edge machine learning models.
Not ideal if you require highly specialized change detection algorithms beyond a robust U-Net baseline or are working with non-image data.
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58
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Language
Python
License
MIT
Category
Last pushed
Apr 16, 2025
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