WangLibo1995/BuildFormer
Building Extraction from remote sensing image using Vision Transformer, IEEE Transactions on Geoscience and Remote Sensing, 2022
This tool helps urban planners, geographers, and environmental scientists automatically identify and map buildings from satellite or aerial imagery. You input raw remote sensing images, and it outputs precise masks or outlines highlighting all the buildings, making it easier to analyze urban sprawl, conduct damage assessments, or monitor construction without manual tracing. It's designed for professionals working with large geographical datasets.
104 stars. No commits in the last 6 months.
Use this if you need an automated, accurate way to extract building footprints from large volumes of overhead imagery for geographical analysis or urban planning.
Not ideal if you're looking for an off-the-shelf application with a graphical user interface, as this requires some command-line interaction and data preparation.
Stars
104
Forks
11
Language
Python
License
GPL-3.0
Category
Last pushed
May 20, 2023
Commits (30d)
0
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