MVCNN: A Deep Learning-Based Ocean–Land Waveform Classification Network for Single-Wavelength LiDAR Bathymetry-Reference-Cited by-同舟云学术

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

Published:2023 Issue: Volume:16 Page:656-674
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Liang Gang¹^ORCID,Zhao Xinglei¹^ORCID,Zhao Jianhu²^ORCID,Zhou Fengnian³

Affiliation:

1. College of Information Science and Engineering, Shandong Agricultural University, Tai'an, China

2. School of Geodesy and Geomatics, Wuhan University, Wuhan, China

3. Survey Bureau of Hydrology and Water Resources of Yangtze Estuary, Shanghai, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

Reference38 articles.

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