Research on Detection Methods for Dynamic Ship Targets in Complex Marine Environment From Visible Light Images

ABSTRACT The detection of distant small ship targets in the marine environment is a critical and challenging issue that urgently needs to be addressed in the realization of accurate marine information control in the complex environment. It is of great significance for monitoring Marine environment a...

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Main Authors: Yao Wang, Yi Jiang, Weigui Zeng, Silei Cao
Format: Article
Language:English
Published: Wiley 2025-04-01
Series:Engineering Reports
Subjects:
Online Access:https://doi.org/10.1002/eng2.70000
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author Yao Wang
Yi Jiang
Weigui Zeng
Silei Cao
author_facet Yao Wang
Yi Jiang
Weigui Zeng
Silei Cao
author_sort Yao Wang
collection DOAJ
description ABSTRACT The detection of distant small ship targets in the marine environment is a critical and challenging issue that urgently needs to be addressed in the realization of accurate marine information control in the complex environment. It is of great significance for monitoring Marine environment and safeguarding maritime sovereignty. In the process of acquiring target information on ships at sea, the images captured typically contain information of dynamic targets within dynamic scenes. Traditional, singular methods are inadequate for obtaining complete information on these dynamic targets. Based on this, the article proposes an integrated method combining dynamic target detection algorithms, edge detection operators, and deep learning‐based target detection algorithms. This method constructs an improved dynamic target detection algorithm to achieve comprehensive information acquisition and detection of the position, size, and type of moving ship targets in complex marine environments. Experimental simulation has validated the network performance and practical value. The network has been deployed on an Nvidia Jetson TX2 development board for real‐world testing, confirming its performance in detecting dynamic ship targets in actual marine environments, and providing a viable technical approach and theoretical support for enhancing the refined target selection capability.
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institution OA Journals
issn 2577-8196
language English
publishDate 2025-04-01
publisher Wiley
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spelling doaj-art-e71d6dfc53e1473184d0924d2867ffa32025-08-20T02:14:58ZengWileyEngineering Reports2577-81962025-04-0174n/an/a10.1002/eng2.70000Research on Detection Methods for Dynamic Ship Targets in Complex Marine Environment From Visible Light ImagesYao Wang0Yi Jiang1Weigui Zeng2Silei Cao3Naval Aviation University Yantai ChinaNaval Aviation University Yantai ChinaNaval Aviation University Yantai ChinaNaval Aviation University Yantai ChinaABSTRACT The detection of distant small ship targets in the marine environment is a critical and challenging issue that urgently needs to be addressed in the realization of accurate marine information control in the complex environment. It is of great significance for monitoring Marine environment and safeguarding maritime sovereignty. In the process of acquiring target information on ships at sea, the images captured typically contain information of dynamic targets within dynamic scenes. Traditional, singular methods are inadequate for obtaining complete information on these dynamic targets. Based on this, the article proposes an integrated method combining dynamic target detection algorithms, edge detection operators, and deep learning‐based target detection algorithms. This method constructs an improved dynamic target detection algorithm to achieve comprehensive information acquisition and detection of the position, size, and type of moving ship targets in complex marine environments. Experimental simulation has validated the network performance and practical value. The network has been deployed on an Nvidia Jetson TX2 development board for real‐world testing, confirming its performance in detecting dynamic ship targets in actual marine environments, and providing a viable technical approach and theoretical support for enhancing the refined target selection capability.https://doi.org/10.1002/eng2.70000deep learningdynamic targetedge detectionmarine environmentship target
spellingShingle Yao Wang
Yi Jiang
Weigui Zeng
Silei Cao
Research on Detection Methods for Dynamic Ship Targets in Complex Marine Environment From Visible Light Images
Engineering Reports
deep learning
dynamic target
edge detection
marine environment
ship target
title Research on Detection Methods for Dynamic Ship Targets in Complex Marine Environment From Visible Light Images
title_full Research on Detection Methods for Dynamic Ship Targets in Complex Marine Environment From Visible Light Images
title_fullStr Research on Detection Methods for Dynamic Ship Targets in Complex Marine Environment From Visible Light Images
title_full_unstemmed Research on Detection Methods for Dynamic Ship Targets in Complex Marine Environment From Visible Light Images
title_short Research on Detection Methods for Dynamic Ship Targets in Complex Marine Environment From Visible Light Images
title_sort research on detection methods for dynamic ship targets in complex marine environment from visible light images
topic deep learning
dynamic target
edge detection
marine environment
ship target
url https://doi.org/10.1002/eng2.70000
work_keys_str_mv AT yaowang researchondetectionmethodsfordynamicshiptargetsincomplexmarineenvironmentfromvisiblelightimages
AT yijiang researchondetectionmethodsfordynamicshiptargetsincomplexmarineenvironmentfromvisiblelightimages
AT weiguizeng researchondetectionmethodsfordynamicshiptargetsincomplexmarineenvironmentfromvisiblelightimages
AT sileicao researchondetectionmethodsfordynamicshiptargetsincomplexmarineenvironmentfromvisiblelightimages