Paulymorphous/skeyenet
Road and Building Segmentation in Satellite Imagery
This project helps urban planners, GIS analysts, and cartographers automatically identify and map roads in satellite imagery. You input satellite images, and it outputs segmented images that highlight exactly where roads are located, making it easier to analyze infrastructure and urban development. It's designed for anyone who needs to quickly create or update maps with detailed road networks.
144 stars. No commits in the last 6 months.
Use this if you need to quickly and accurately identify and segment roads from large datasets of aerial or satellite images for mapping, urban planning, or infrastructure assessment.
Not ideal if you need to identify very specific types of roads (e.g., dirt paths vs. paved roads) or other features like buildings, as this tool is focused only on general road segmentation.
Stars
144
Forks
42
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Mar 24, 2023
Commits (30d)
0
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