BUILDING DETECTION FROM LIDAR DATA USING ENTROPY AND THE K-MEANS CONCEPT

5 citations as recorded by crossref.

1. Extraction and regularization of building footprints from classified LiDAR data: easily accessible tools for their implementation and evaluation R. Ďuračiová et al. https://doi.org/10.1007/s12518-026-00731-0
2. Improved Iterative CD-Spline Approach for Building Boundary Regularization Using Airborne LiDAR Data R. dos Santos et al. https://doi.org/10.1109/JSTARS.2025.3581438
3. Robust Building Detection in Urban Environments from Airborne LiDAR Data: A Geometry-Based Approach R. dos Santos & M. Galo https://doi.org/10.1109/JSTARS.2024.3391050
4. Stacked Autoencoders Driven by Semi-Supervised Learning for Building Extraction from near Infrared Remote Sensing Imagery E. Protopapadakis et al. https://doi.org/10.3390/rs13030371
5. Automatic tree detection in varying urban environments using airborne LiDAR data R. dos Santos et al. https://doi.org/10.1007/s12518-026-00720-3