Extracting Shallow-Water Bathymetry from Lidar Point Clouds Using Pulse Attribute Data: Merging Density-Based and Machine Learning Approaches
Author:
Affiliation:
1. Center for Coastal and Ocean Mapping and Joint Hydrographic Center, University of New Hampshire, Durham, New Hampshire, USA
Funder
National Oceanic and Atmospheric Administration
Publisher
Informa UK Limited
Subject
Oceanography
Link
https://www.tandfonline.com/doi/pdf/10.1080/01490419.2021.1925790
Reference54 articles.
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2. SHALLOW WATER BATHYMETRY MAPPING FROM UAV IMAGERY BASED ON MACHINE LEARNING
3. American Society for Photogrammetry and Remote Sensing. 2013. LAS Specification Version 1.3-R13 (15 July 2013).
4. Processing and performance of topobathymetric lidar data for geomorphometric and morphological classification in a high-energy tidal environment
5. The Effect of Surface Waves on Airborne Lidar Bathymetry (ALB) Measurement Uncertainties
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