Correction of Intensity Incidence Angle Effect in Terrestrial Laser Scanning

35 citations as recorded by crossref.

1. A non-destructive technique for health assessment of fire-damaged concrete elements using terrestrial laser scanning W. Mukupa et al. https://doi.org/10.1007/s13349-016-0188-1
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7. Tree Stem Diameter Estimation from Mobile Laser Scanning Using Line-Wise Intensity-Based Clustering M. Forsman et al. https://doi.org/10.3390/f7090206
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17. Estimation of vegetation water content at leaf and canopy level using dual-wavelength commercial terrestrial laser scanners A. Elsherif et al. https://doi.org/10.1098/rsfs.2017.0041
18. Terrestrial Laser Scanning Intensity Correction by Piecewise Fitting and Overlap-Driven Adjustment T. Xu et al. https://doi.org/10.3390/rs9111090
19. Full-Waveform LiDAR Pixel Analysis for Low-Growing Vegetation Mapping of Coastal Foredunes in Western France P. Launeau et al. https://doi.org/10.3390/rs10050669
20. 3D leaf water content mapping using terrestrial laser scanner backscatter intensity with radiometric correction X. Zhu et al. https://doi.org/10.1016/j.isprsjprs.2015.10.001
21. 4D Pointwise Terrestrial Laser Scanning Calibration: Radiometric Calibration of Point Clouds M. Sabzali & L. Pilgrim https://doi.org/10.3390/s25227035
22. CLOI-NET: Class segmentation of industrial facilities’ point cloud datasets E. Agapaki & I. Brilakis https://doi.org/10.1016/j.aei.2020.101121
23. Intricacies of Opening Geometry Detection in Terrestrial Laser Scanning: An Analysis Using Point Cloud Data from BLK360 J. Jung et al. https://doi.org/10.3390/rs16050759
24. Advances and challenges in water leakage detection techniques for shield tunnels: a comprehensive review J. Jiang et al. https://doi.org/10.1016/j.measurement.2025.118763
25. High-Definition Survey of Architectural Heritage Fusing Multisensors—The Case of Beamless Hall at Linggu Temple in Nanjing, China J. Fang et al. https://doi.org/10.3390/s22093369
26. Automatic Detection of Shield Tunnel Leakages Based on Terrestrial Mobile LiDAR Intensity Images Using Deep Learning X. Cheng et al. https://doi.org/10.1109/ACCESS.2021.3070813
27. Quantifying Forest Litter Fuel Moisture Content with Terrestrial Laser Scanning J. Batchelor et al. https://doi.org/10.3390/rs15061482
28. Robotic Railway Multi-Sensing and Profiling Unit Based on Artificial Intelligence and Data Fusion M. Minea et al. https://doi.org/10.3390/s21206876
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31. Statistical correction of raw color attributes in 3D point clouds to estimate material relative reflectance M. Giorio et al. https://doi.org/10.1016/j.jobe.2026.117217
32. TCP-based calibration in robot-assisted belt grinding of aero-engine blades using scanner measurements X. Xu et al. https://doi.org/10.1007/s00170-016-9331-8
33. Transfer Learning for LiDAR-Based Lane Marking Detection and Intensity Profile Generation A. Patel et al. https://doi.org/10.3390/geomatics1020016
34. Intensity Data Correction for the Distance Effect in Terrestrial Laser Scanners K. Tan et al. https://doi.org/10.1109/JSTARS.2015.2497310
35. Detection of Water Leakage in Underground Tunnels Using Corrected Intensity Data and 3D Point Cloud of Terrestrial Laser Scanning T. Xu et al. https://doi.org/10.1109/ACCESS.2018.2842797