Classification of Sailboat Tell Tail Based on Deep Learning

作     者：CHANG Xiaofeng YU Jintao GAO Ying DING Hongchen LIU Yulong YU Huaming CHANG Xiaofeng;YU Jintao;GAO Ying;DING Hongchen;LIU Yulong;YU Huaming

作者机构：Department of Physical EducationOcean University of ChinaQingdao 266100China College of Big DataQingdao University of Science and TechnologyQingdao 266061China College of Oceanic and Atmospheric SciencesOcean University of ChinaQingdao 266100China 

出 版 物：《Journal of Ocean University of China》 (中国海洋大学学报（英文版）)

年 卷 期：2024年第23卷第3期

页      面：710-720页

核心收录：

学科分类：0707[理学-海洋科学] 08[工学] 0824[工学-船舶与海洋工程] 082401[工学-船舶与海洋结构物设计制造] 

基　　金：supported by the Shandong Provin-cial Key Research Project of Undergraduate Teaching Reform(No.Z2022218) the Fundamental Research Funds for the Central University(No.202113028) the Graduate Education Promotion Program of Ocean University of China(No.HDJG20006) supported by the Sailing Laboratory of Ocean University of China 

主　　题：tell tail sailboat classification deep learning 

摘      要：The tell tail is usually placed on the triangular sail to display the running state of the air flow on the sail *** is of great significance to make accurate judgement on the drift of the tell tail of the sailboat during sailing for the best sailing *** it is difficult for sailors to keep an eye for a long time on the tell sail for accurate judging its changes,affected by strong sunlight and visual *** this case,we adopt computer vision technology in hope of helping the sailors judge the changes of the tell tail in ease with *** paper proposes for the first time a method to classify sailboat tell tails based on deep learning and an expert guidance system,supported by a sailboat tell tail classification data set on the expert guidance system of interpreting the tell tails states in different sea wind conditions,including the feature extraction *** the expression capabilities that vary with the computational features in different visual tasks,the paper focuses on five tell tail computing features,which are recoded by an automatic encoder and classified by a SVM *** experimental samples were randomly divided into five groups,and four groups were selected from each group as the training set to train the *** remaining one group was used as the test set for *** highest resolution value of the ResNet network was 80.26%.To achieve better operational results on the basis of deep computing features obtained through the ResNet network in the *** method can be used to assist the sailors in making better judgement about the tell tail changes during sailing.