MVCNN: A Deep Learning-Based Ocean–Land Waveform Classification Network for Single-Wavelength LiDAR Bathymetry

Ocean–land waveform classification (OLWC) is crucial in airborne LiDAR bathymetry (ALB) data processing and can be used for ocean–land discrimination and waterline extraction. However, the accuracy of OLWC for single-wavelength ALB systems is low given the nature of the green laser wav...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Gang Liang, Xinglei Zhao, Jianhu Zhao, Fengnian Zhou
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	IEEE 2023-01-01
Schriftenreihe:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Schlagworte:	Airborne lidar bathymetry deep learning multichannel green laser waveforms multichannel voting ocean–land waveform classification
Online-Zugang:	https://ieeexplore.ieee.org/document/9984840/
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