Underwater-Sonar-Image-Based 3D Point Cloud Reconstruction for High Data Utilization and Object Classification Using a Neural Network

Underwater-Sonar-Image-Based 3D Point Cloud Reconstruction for High Data Utilization and Object Classification Using a Neural Network

This paper proposes a sonar-based underwater object classification method for autonomous underwater vehicles (AUVs) by reconstructing an object’s three-dimensional (3D) geometry. The point cloud of underwater objects can be generated from sonar images captured while the AUV passes over the object. T...

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Bibliographic Details
Main Authors: Minsung Sung, Jason Kim, Hyeonwoo Cho, Meungsuk Lee, Son-Cheol Yu
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Electronics
Subjects:
AUV
forward-scan sonar
sonar classification
sonar sensor
underwater object classification
Online Access:https://www.mdpi.com/2079-9292/9/11/1763

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