The adaptive model for water depth bias correction was developed. The 3D point cloud data are projected in a defined bias correction coordinate system. An adjustable correction coefficient distance rule is used to get continuous cluster. A rule with a local density and distance is used to allocate 3D point cloud data.
Mar 4, 2024 · A method of deducing the water optical parameters from the temporal and/or the magnitude of the nadir incidence bathymetry lidar return signal ...
Semantic Scholar extracted view of "Adaptive model for the water depth bias correction of bathymetric LiDAR point cloud data" by Guoqing Zhou et al.
The water depth bias of LiDAR point cloud data has to be corrected. The previous models, which used the fixed parameters for an entire water area, ...
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Mar 17, 2023 · The water depth bias of LiDAR point cloud data has to be corrected. The previous models, which used the fixed parameters for an entire water ...
Dec 16, 2023 · In this study, an improved depth bias model is developed through stepwise regression in consideration of the water depth, laser beam scanning ...
An improved depth bias model is developed through stepwise regression in consideration of the water depth, laser beam scanning angle, sensor height, ...
May 6, 2024 · Furthermore, an adaptive model corrects water depth bias by clustering points into sub-regions and fitting models to each, achieving higher ...
Syracuse University's Hickman and Hogg study first laser bathymetry device, conducted aerial flight experiments to verify the feasibility of laser water depth ...
Nov 20, 2019 · Airborne LiDAR bathymetry (ALB) is a technique for measuring the depths of moderately clear, near-shore coastal waters and lakes with a high- ...