Seabed Modelling by Means of Airborne Laser Bathymetry Data and Imbalanced Learning for Offshore Mapping

Seabed Modelling by Means of Airborne Laser Bathymetry Data and Imbalanced Learning for Offshore Mapping

An important problem associated with the aerial mapping of the seabed is the precise classification of point clouds characterizing the water surface, bottom, and bottom objects. This study aimed to improve the accuracy of classification by addressing the asymmetric amount of data representing these...

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Bibliographic Details
Main Authors:	Tomasz Kogut, Arkadiusz Tomczak, Adam Słowik, Tomasz Oberski
Format:	Article
Language:	English
Published:	MDPI AG 2022-04-01
Series:	Sensors
Subjects:	airborne laser bathymetry imbalanced learning classification SMOTE oversampling
Online Access:	https://www.mdpi.com/1424-8220/22/9/3121

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