HoinJung/BEmodule-Satellite-Building-Segmentation
Boundary Enhancement Semantic Segmentation for Building Extraction from Remote Sensed Image
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.
Stars
35
Forks
4
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Oct 01, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/HoinJung/BEmodule-Satellite-Building-Segmentation"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
WHU-Sigma/HyperSIGMA
The official repo for [TPAMI'25] "HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model"
manideep2510/eye-in-the-sky
Satellite Image Classification using semantic segmentation methods in deep learning
motokimura/spacenet_building_detection
Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite...
rogerxujiang/dstl_unet
Dstl Satellite Imagery Feature Detection
Paulymorphous/skeyenet
Road and Building Segmentation in Satellite Imagery