An automated building footprint extraction pipeline and Python library from LiDAR point clouds.
LasBuildSeg is an automated processing pipeline and Python library designed for extracting accurate building footprints from LiDAR point cloud data (.las/.laz format). Key Features & Workflow: • Automatically calculates adaptive height and TRI (Terrain Ruggedness Index) thresholds based on coarse-scale nDHM analysis. • Utilizes CSF (Cloth Simulation Filter) for robust ground filtering and DTM generation. • Implements morphological opening and FXAA-style edge smoothing for noise reduction. • Offers advanced false-positive elimination tools, including height variance, convex hull ratio, and elongation filters. • Supports per-connected-component alpha shape extraction to prevent vegetation merging and deliver crisp building boundaries. • Exports ready-to-use vector footprints reprojected into Web Mercator (EPSG:3857) alongside debug layers for threshold tuning.
Plugin Tags