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...

Full description

Bibliographic Details
Main Authors: Minsung Sung, Jason Kim, Hyeonwoo Cho, Meungsuk Lee, Son-Cheol Yu
Format: Article
Published: MDPI AG 2020-10-01
Online Access:https://www.mdpi.com/2079-9292/9/11/1763

Similar Items