likyoo/BAN
The pytorch implementation for "A New Learning Paradigm for Foundation Model-based Remote Sensing Change Detection"
This project helps remote sensing analysts or urban planners identify changes in satellite or aerial imagery over time. You provide pairs of images from the same location taken at different times, and it highlights the specific areas where significant changes have occurred, such as new buildings, deforestation, or altered landscapes. The output is a clear map or image showing exactly where these changes are.
100 stars. No commits in the last 6 months.
Use this if you need to accurately detect and map changes between two remote sensing images for applications like urban growth monitoring, disaster assessment, or environmental surveillance.
Not ideal if you need a simple tool for visual inspection or if your imagery is not from remote sensing sources like satellites or aerial platforms.
Stars
100
Forks
7
Language
Python
License
Apache-2.0
Category
Last pushed
Apr 10, 2024
Commits (30d)
0
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