Full-Waveform Classification and Segmentation-Based Signal Detection of Single-Wavelength Bathymetric LiDAR
Author:
Affiliation:
1. College of Geoexploration Science and Technology, Jilin University, Changchun, China
2. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan, China
3. First Institute of Oceanography, MNR, Qingdao, China
Funder
National Natural Science Foundation of China
Fund of Technology Innovation Center for Ocean Telemetry, Ministry of Natural Resources
Natural Science Foundation of Jilin Province
Open Fund of Key Laboratory of Urban Land Resources Monitoring and Simulation, MNR
Scientific Research Project of the 13th Five-Year Plan of Jilin Province Education Department
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/9633014/09854901.pdf?arnumber=9854901
Reference60 articles.
1. Water–land classification using three-dimensional point cloud data of airborne LiDAR bathymetry based on elevation threshold intervals
2. Land-Water Interface Resolved from Airborne LIDAR Bathymetry (ALB) Waveforms
3. Automatic land-water classification using multispectral airborne LiDAR data for near-shore and river environments
4. LAND COVER CLASSIFICATION FROM FULL-WAVEFORM LIDAR DATA BASED ON SUPPORT VECTOR MACHINES
5. Comparison of LiDAR waveform processing methods for very shallow water bathymetry using Raman, near-infrared and green signals
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1. Signal Property Information-Based Target Detection with Dual-Output Neural Network in Complex Environments;Sensors;2023-05-22
2. A Real-Time Data Acquisition System for Single-Band Bathymetric LiDAR;IEEE Transactions on Geoscience and Remote Sensing;2023
3. A Robust Multispectral Point Cloud Generation Method Based on 3-D Reconstruction From Multispectral Images;IEEE Transactions on Geoscience and Remote Sensing;2023
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