aavek/Satellite-Image-Road-Segmentation
Graph Reasoned Multi-Scale Road Segmentation in Remote Sensing Imagery
This project helps urban planners, geospatial analysts, and civil engineers automatically map and extract road networks from satellite imagery. You input satellite images, and it outputs detailed road network predictions, which can be visualized on a map. This is designed for professionals who need to quickly identify and update road infrastructure over large geographic areas.
No commits in the last 6 months.
Use this if you need to rapidly and accurately extract road networks from high-resolution satellite or aerial images for city planning, infrastructure monitoring, or disaster response.
Not ideal if you're looking for a simple, out-of-the-box software with a graphical user interface, as this requires some technical setup.
Stars
31
Forks
3
Language
Python
License
MIT
Category
Last pushed
May 07, 2024
Commits (30d)
0
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