HoinJung/BEmodule-Satellite-Building-Segmentation

Boundary Enhancement Semantic Segmentation for Building Extraction from Remote Sensed Image

34
/ 100
Emerging

This tool helps urban planners, environmental analysts, or geographers accurately identify and map buildings from satellite or aerial imagery. You input raw remote sensing images, and it outputs precise outlines of buildings, distinguishing them from other features like roads or vegetation. It's designed for professionals who need detailed building footprint data for tasks like urban development, disaster response, or land use analysis.

No commits in the last 6 months.

Use this if you need to automatically and accurately extract building boundaries from large sets of satellite or aerial images.

Not ideal if you're looking for a simple, off-the-shelf application with a graphical user interface, as this requires some technical setup.

remote-sensing urban-planning GIS environmental-analysis asset-mapping
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 11 / 25

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Stars

35

Forks

4

Language

Jupyter Notebook

License

Apache-2.0

Last pushed

Oct 01, 2021

Commits (30d)

0

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