Next Article in Journal
Development and Experimental Analysis of a Fuzzy Grey Control System on Rapeseed Cleaning Loss
Next Article in Special Issue
FPGA-Based Optical Surface Inspection of Wind Turbine Rotor Blades Using Quantized Neural Networks
Previous Article in Journal
Emotion Analysis in Human–Robot Interaction
 
 
Article

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

1
Department of IT Engineering, Pohnag University of Science and Technology, Pohang 37673, Korea
2
Department of Electrical Engineering, Pohnag University of Science and Technology, Pohang 37673, Korea
*
Author to whom correspondence should be addressed.
Electronics 2020, 9(11), 1763; https://doi.org/10.3390/electronics9111763
Received: 8 September 2020 / Revised: 11 October 2020 / Accepted: 19 October 2020 / Published: 23 October 2020
(This article belongs to the Special Issue Application of Neural Networks in Image Classification)
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. Then, a neural network can predict the class given the generated point cloud. By reconstructing the 3D shape of the object, the proposed method can classify the object accurately through a straightforward training process. We verified the proposed method by performing simulations and field experiments. View Full-Text
Keywords: AUV; forward-scan sonar; sonar classification; sonar sensor; underwater object classification AUV; forward-scan sonar; sonar classification; sonar sensor; underwater object classification
Show Figures

Figure 1

MDPI and ACS Style

Sung, M.; Kim, J.; Cho, H.; Lee, M.; Yu, S.-C. Underwater-Sonar-Image-Based 3D Point Cloud Reconstruction for High Data Utilization and Object Classification Using a Neural Network. Electronics 2020, 9, 1763. https://doi.org/10.3390/electronics9111763

AMA Style

Sung M, Kim J, Cho H, Lee M, Yu S-C. Underwater-Sonar-Image-Based 3D Point Cloud Reconstruction for High Data Utilization and Object Classification Using a Neural Network. Electronics. 2020; 9(11):1763. https://doi.org/10.3390/electronics9111763

Chicago/Turabian Style

Sung, Minsung, Jason Kim, Hyeonwoo Cho, Meungsuk Lee, and Son-Cheol Yu. 2020. "Underwater-Sonar-Image-Based 3D Point Cloud Reconstruction for High Data Utilization and Object Classification Using a Neural Network" Electronics 9, no. 11: 1763. https://doi.org/10.3390/electronics9111763

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop