Side-Scan Sonar Analysis Using ROI Analysis and Deep Neural Networks
Author:
Affiliation:
1. Faculty of Applied Mathematics, Silesian University of Technology, Gliwice, Poland
2. Faculty of Navigation, Maritime University of Szczecin, Szczecin, Poland
3. Marine Technology Ltd., Gdynia, Poland
Funder
National Center for Research and Development (NCBR) of Poland
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/9633014/09695479.pdf?arnumber=9695479
Reference26 articles.
1. Study on the Classification Performance of Underwater Sonar Image Classification Based on Convolutional Neural Networks for Detecting a Submerged Human Body
2. Design and implementation of a neighborhood search biogeography-based optimization trainer for classifying sonar dataset using multi-layer perceptron neural network
3. Side-Scan Sonar Image Fusion Based on Sum-Modified Laplacian Energy Filtering and Improved Dual-Channel Impulse Neural Network
4. Nonhomogeneous Noise Removal From Side-Scan Sonar Images Using Structural Sparsity
5. Keypoint-based mapping analysis on transformed Side Scan Sonar images
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