StephenApX/UCD-SCM
[IGARSS 2024] Segment Change Model (SCM) for Unsupervised Change detection in VHR Remote Sensing Images: a Case Study of Buildings
This project helps urban planners, environmental monitoring agencies, and disaster response teams automatically detect changes in very high-resolution satellite imagery. By comparing two satellite images of the same area taken at different times, it highlights newly constructed buildings or demolished structures. The output is a clear map indicating exactly where changes have occurred, enabling quick identification of development or damage.
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Use this if you need to identify new constructions, demolitions, or significant alterations to building footprints from satellite imagery without manually sifting through images.
Not ideal if you are looking to detect subtle land cover changes like vegetation growth, or if your images are not of very high resolution.
Stars
69
Forks
4
Language
Python
License
MIT
Category
Last pushed
Dec 15, 2024
Commits (30d)
0
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