UTILITY POLES EXTRACTION FROM MOBILE LIDAR DATA IN URBAN AREA BASED ON DENSITY INFORMATION

8 citations as recorded by crossref.

1. Automated lamp post extraction using drone based photogrammetry A. Mohd Ayub & K. Tahar https://doi.org/10.1007/s12518-026-00774-3
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3. Extracting Highway Cross Slopes From Airborne and Mobile LiDAR Point Clouds A. Shams et al. https://doi.org/10.1177/03611981221106482
4. Artificial intelligence-based software (AID-FOREST) for tree detection: A new framework for fast and accurate forest inventorying using LiDAR point clouds F. López Serrano et al. https://doi.org/10.1016/j.jag.2022.103014
5. An enhanced descriptor extraction algorithm for power line detection from point clouds D. Shokri et al. https://doi.org/10.1111/1745-5871.12604
6. Performance evaluation of state-of-the-art multimodal remote sensing image matching methods in the presence of noise N. Jovhari et al. https://doi.org/10.1007/s12518-024-00553-y
7. A regression-based method for estimating the number of power poles in areas of electricity consumption regulation P. Araujo et al. https://doi.org/10.1016/j.procs.2026.02.470
8. Utility‐pole Detection Based on Interwoven Column Generation from Terrestrial Mobile Laser Scanner Data S. Talebi Nahr & M. Saadatseresht https://doi.org/10.1111/phor.12394