Sonar Image Target Detection and Recognition Based on Convolution Neural Network

Recent advancements in deep learning offer an effective approach for the study in machine vision using optical images. In this paper, a convolution neural network is used to deal with the target task of sonar detection, and the performance of each neural network model in the sonar image detection an...

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Main Author:	Wu Yanchen
Format:	Article
Language:	English
Published:	Hindawi Limited 2021-01-01
Series:	Mobile Information Systems
Online Access:	http://dx.doi.org/10.1155/2021/5589154

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record_format	Article
spelling	doaj-a8a618c85a4a43ba993d18ed20884c6c2021-07-02T18:16:29ZengHindawi LimitedMobile Information Systems1875-905X2021-01-01202110.1155/2021/5589154Sonar Image Target Detection and Recognition Based on Convolution Neural NetworkWu Yanchen0School of Marine Science and TechnologyRecent advancements in deep learning offer an effective approach for the study in machine vision using optical images. In this paper, a convolution neural network is used to deal with the target task of sonar detection, and the performance of each neural network model in the sonar image detection and recognition task of underwater box and tire is compared. The simulation results show that the neural network method proposed in this paper is better than the traditional machine learning methods and SSD network models. The average accuracy of the proposed method for sonar image target recognition is 93%, and the detection time of a single image is only 0.3 seconds.http://dx.doi.org/10.1155/2021/5589154
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Wu Yanchen
spellingShingle	Wu Yanchen Sonar Image Target Detection and Recognition Based on Convolution Neural Network Mobile Information Systems
author_facet	Wu Yanchen
author_sort	Wu Yanchen
title	Sonar Image Target Detection and Recognition Based on Convolution Neural Network
title_short	Sonar Image Target Detection and Recognition Based on Convolution Neural Network
title_full	Sonar Image Target Detection and Recognition Based on Convolution Neural Network
title_fullStr	Sonar Image Target Detection and Recognition Based on Convolution Neural Network
title_full_unstemmed	Sonar Image Target Detection and Recognition Based on Convolution Neural Network
title_sort	sonar image target detection and recognition based on convolution neural network
publisher	Hindawi Limited
series	Mobile Information Systems
issn	1875-905X
publishDate	2021-01-01
description	Recent advancements in deep learning offer an effective approach for the study in machine vision using optical images. In this paper, a convolution neural network is used to deal with the target task of sonar detection, and the performance of each neural network model in the sonar image detection and recognition task of underwater box and tire is compared. The simulation results show that the neural network method proposed in this paper is better than the traditional machine learning methods and SSD network models. The average accuracy of the proposed method for sonar image target recognition is 93%, and the detection time of a single image is only 0.3 seconds.
url	http://dx.doi.org/10.1155/2021/5589154
work_keys_str_mv	AT wuyanchen sonarimagetargetdetectionandrecognitionbasedonconvolutionneuralnetwork
_version_	1721324753294196736

Sonar Image Target Detection and Recognition Based on Convolution Neural Network

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