水下航行器实时三维声纳图像识别

Son-cheol Yu, Tae-Won Kim, G. Marani, Song K. Choi
{"title":"水下航行器实时三维声纳图像识别","authors":"Son-cheol Yu, Tae-Won Kim, G. Marani, Song K. Choi","doi":"10.1109/UT.2007.370843","DOIUrl":null,"url":null,"abstract":"The recognition of objects and environment are one of keys to automate underwater tasks. This paper presents a predictor based image recognition method using high-resolution sonar images. They are very sensitive to sonar's view point changes. The proposed predictor predicts an object images depending on the view point. Using the object model, it modifies a template for optimal recognition. To estimate the accuracy and reliability of the proposed method, indoor tank tests were carried out using various shapes of objects.","PeriodicalId":345403,"journal":{"name":"2007 Symposium on Underwater Technology and Workshop on Scientific Use of Submarine Cables and Related Technologies","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"22","resultStr":"{\"title\":\"Real-Time 3D Sonar Image Recognition for Underwater Vehicles\",\"authors\":\"Son-cheol Yu, Tae-Won Kim, G. Marani, Song K. Choi\",\"doi\":\"10.1109/UT.2007.370843\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The recognition of objects and environment are one of keys to automate underwater tasks. This paper presents a predictor based image recognition method using high-resolution sonar images. They are very sensitive to sonar's view point changes. The proposed predictor predicts an object images depending on the view point. Using the object model, it modifies a template for optimal recognition. To estimate the accuracy and reliability of the proposed method, indoor tank tests were carried out using various shapes of objects.\",\"PeriodicalId\":345403,\"journal\":{\"name\":\"2007 Symposium on Underwater Technology and Workshop on Scientific Use of Submarine Cables and Related Technologies\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-04-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"22\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 Symposium on Underwater Technology and Workshop on Scientific Use of Submarine Cables and Related Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/UT.2007.370843\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 Symposium on Underwater Technology and Workshop on Scientific Use of Submarine Cables and Related Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/UT.2007.370843","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 22

摘要

水下目标和环境的识别是实现水下任务自动化的关键之一。提出了一种基于预测器的高分辨率声纳图像识别方法。它们对声纳的视点变化非常敏感。所提出的预测器根据视点对目标图像进行预测。利用目标模型对模板进行修改,使识别效果达到最佳。为了评估所提出方法的准确性和可靠性,使用不同形状的物体进行了室内水箱试验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Real-Time 3D Sonar Image Recognition for Underwater Vehicles
The recognition of objects and environment are one of keys to automate underwater tasks. This paper presents a predictor based image recognition method using high-resolution sonar images. They are very sensitive to sonar's view point changes. The proposed predictor predicts an object images depending on the view point. Using the object model, it modifies a template for optimal recognition. To estimate the accuracy and reliability of the proposed method, indoor tank tests were carried out using various shapes of objects.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信