Building footprint segmentation from satellite and aerial imagery
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Updated
Jul 30, 2024 - Python
Building footprint segmentation from satellite and aerial imagery
A library to map match and help tackle the problem of overlapping/intersecting road and building footprint that arises in the process of map making
This repository provides an implementation of Vec2Instance over the SpaceNet challenge AOI 2 (Vegas) building footprint dataset. Vec2Instance provides a framework for parametrization of instances, allowing convolutional neural networks to efficiently estimate the complex shapes of instances around their centroids.
Automated building polygon extraction from satellite imagery
Generates import files for OpenStreetMap with buliding footprints from Kartverket
Regularize polygons to rectilinear shape using constrained least squares in Java
Demo app for Building footprint extraction from satellite and aerial imagery
Cross-City Building Instance Segmentation: From More Data to Diffusion-Augmentation (IEEE BigData 2024)
Cross-City Building Instance Segmentation: From More Data to Diffusion-Augmentation (IEEE BigData 2024)
HISDAC-ES: Creating historical settlement data for Spain (1900-2020) based on cadastral building footprint data
Building Footprint Extraction Using ESRI Deep Learning Model
Enforcing orthogonality of segments in building footprints
Reference Repository for the Drawing Participation: Reblocking a Million Neighborhoods Project
Example PostGIS queries for extracting built form metrics from building polygons.
Forked from https://github.com/bohaohuang/mrs/tree/master *Models for Remote Sensing*; the aim is testing ML models for image segmentation to generate building footprints
Data-driven extruded building footprints in ArcGIS JS API
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