Z-Zheng/ChangeStar
Change is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sensing Imagery (ICCV 2021) https://arxiv.org/abs/2108.07002
This helps remote sensing analysts or disaster response teams quickly identify significant changes in satellite or aerial imagery. You provide an image (or two for comparison) and it highlights where objects like buildings or infrastructure have appeared or disappeared. It's used by professionals who need to detect changes from high-resolution remote sensing data.
191 stars. No commits in the last 6 months.
Use this if you need to automatically spot and map changes in geospatial objects using high-resolution satellite or drone images, even when you only have a single recent image and past data is limited.
Not ideal if your primary goal is general object detection within an image without focusing on changes over time, or if you're working with low-resolution imagery.
Stars
191
Forks
33
Language
Python
License
Apache-2.0
Category
Last pushed
May 10, 2022
Commits (30d)
0
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