Adaptive model for the water depth bias correction of bathymetric LiDAR point cloud data

Adaptive model for the water depth bias correction of bathymetric LiDAR point cloud data

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, cannot efficiently correct the bias due to the different water environments. Therefore, this paper develops an adaptive model for the correction of the w...

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Bibliographic Details
Main Authors: Guoqing Zhou, Gongbei Wu, Xiang Zhou, Chao Xu, Dawei Zhao, Jinchun Lin, Zhexian Liu, Haotian Zhang, Qingyang Wang, Jiasheng Xu, Bo Song, Lieping Zhang
Format: Article
Language:English
Published: Elsevier 2023-04-01
Series:International Journal of Applied Earth Observations and Geoinformation
Subjects:
LiDAR
Adaptive model
Cloud data
Bathymetry
Water depth bias
Correction
Online Access:http://www.sciencedirect.com/science/article/pii/S1569843223000754

Internet

http://www.sciencedirect.com/science/article/pii/S1569843223000754

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