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- Title
Scan Angle Analysis of Airborne Lidar Data for Missing Return Approximation in Urban Areas.
- Authors
Gharibi, Hamid; Habib, Ayman
- Abstract
The density and uniformity of lidar data play crucial roles in the corresponding data processing steps. One factor influencing point density and spacing in lidar data is the presence of empty pulses, where no return is detected. Missing returns can occur due to atmospheric absorption, specular and diffusive reflection, etc. To address this issue and enhance point density, this paper introduces a novel method for approximating missing returns in airborne lidar data collected over urban areas. This technique focuses on approximating returns for empty pulses that hit spots near abrupt slope changes on building and ground surfaces. The proposed methodology is validated through experiments using a lidar data set from downtown Dublin, Ireland. The collected data contained numerous gaps associated with wet surfaces, as well as missing returns on vertical and oblique surfaces.
- Subjects
DUBLIN (Ireland); CITIES &; towns; LIDAR; SOLAR radiation; ANGLES; ELECTRONIC data processing
- Publication
Photogrammetric Engineering & Remote Sensing, 2024, Vol 90, Issue 3, p143
- ISSN
0099-1112
- Publication type
Article
- DOI
10.14358/PERS.23-00018R2