Deep-Learning-Based Three-Dimensional Detection of Individual Wave-Dissipating Blocks from As-Built Point Clouds Measured by UAV Photogrammetry and Multibeam Echo-Sounder

Deep-Learning-Based Three-Dimensional Detection of Individual Wave-Dissipating Blocks from As-Built Point Clouds Measured by UAV Photogrammetry and Multibeam Echo-Sounder

Wave-dissipating blocks are the armor elements of breakwaters that protect beaches, ports, and harbors from erosion by waves. Monitoring the poses of individual wave-dissipating blocks benefits the accuracy of the block supplemental work plan, recording of the construction status, and monitoring of...

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Bibliographic Details
Main Authors: Yajun Xu, Satoshi Kanai, Hiroaki Date, Tomoaki Sano
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Remote Sensing
Subjects:
wave-dissipating blocks
point cloud
instance segmentation
deep learning
CAD model
pose estimation
Online Access:https://www.mdpi.com/2072-4292/14/21/5575

Internet

https://www.mdpi.com/2072-4292/14/21/5575

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