使用顺序数学过程的自动接触呼叫视觉辅助:使用纹理分析进行类似地雷的接触检测

J. Kuhner, R. Meredith, C. C. Taylor
{"title":"使用顺序数学过程的自动接触呼叫视觉辅助:使用纹理分析进行类似地雷的接触检测","authors":"J. Kuhner, R. Meredith, C. C. Taylor","doi":"10.1109/OCEANS.2012.6404819","DOIUrl":null,"url":null,"abstract":"This paper presents an automated process for finding mine-like contacts by incorporating sequential mathematical processes: textural analysis, polygon discrimination, and dimensional filtering. These processes define a methodology that requires a minimal amount of user input to visually aid the side scan interpreter. The initial focus of this project was to find mine-like objects in high clutter density areas while maintaining a high probability of detection. In order to meet this requirement, a methodology had to be established to combine multiple analytic algorithms. There was also a concerted effort to create a methodology that could be used on a variety of side scan sonar systems. However, in order to discriminate contacts on multiple sonar systems, certain system specifications would have to be incorporated into the process. The key differences between side scan sonar systems necessary for this study are the optimum operating altitude and the along and across track resolutions of the imagery. Since altitude dictates the pixel area encompassed by contacts and resolution determines distortion of the contacts in the imagery, the iterating texture measurement window was built around these two concepts. Implementing a polygon discrimination algorithm became necessary to locate and find the centroid of polygons in the imagery that met textural analysis threshold requirements for a mine-like contact. The application of these methods has shown the potential for an automated process capable of ingesting different types of side scan sonar data with minimal user input.","PeriodicalId":434023,"journal":{"name":"2012 Oceans","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Automated contact calling visual aid using sequential mathematical processes: Using textural analysis for mine-like contact detection\",\"authors\":\"J. Kuhner, R. Meredith, C. C. Taylor\",\"doi\":\"10.1109/OCEANS.2012.6404819\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an automated process for finding mine-like contacts by incorporating sequential mathematical processes: textural analysis, polygon discrimination, and dimensional filtering. These processes define a methodology that requires a minimal amount of user input to visually aid the side scan interpreter. The initial focus of this project was to find mine-like objects in high clutter density areas while maintaining a high probability of detection. In order to meet this requirement, a methodology had to be established to combine multiple analytic algorithms. There was also a concerted effort to create a methodology that could be used on a variety of side scan sonar systems. However, in order to discriminate contacts on multiple sonar systems, certain system specifications would have to be incorporated into the process. The key differences between side scan sonar systems necessary for this study are the optimum operating altitude and the along and across track resolutions of the imagery. Since altitude dictates the pixel area encompassed by contacts and resolution determines distortion of the contacts in the imagery, the iterating texture measurement window was built around these two concepts. Implementing a polygon discrimination algorithm became necessary to locate and find the centroid of polygons in the imagery that met textural analysis threshold requirements for a mine-like contact. The application of these methods has shown the potential for an automated process capable of ingesting different types of side scan sonar data with minimal user input.\",\"PeriodicalId\":434023,\"journal\":{\"name\":\"2012 Oceans\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Oceans\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/OCEANS.2012.6404819\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Oceans","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/OCEANS.2012.6404819","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本文提出了一种自动查找类地雷触点的过程,该过程结合了顺序数学过程:纹理分析、多边形识别和维度过滤。这些过程定义了一种方法,该方法需要最少的用户输入来直观地帮助侧扫描解释器。这个项目最初的重点是在高杂波密度区域找到类似地雷的物体,同时保持高的探测概率。为了满足这一要求,必须建立一种结合多种分析算法的方法。双方还共同努力,创造一种可用于各种侧面扫描声纳系统的方法。但是,为了区分多个声纳系统上的触点,必须将某些系统规格纳入该过程。本研究所需的侧扫声纳系统之间的关键区别是最佳工作高度以及图像的沿轨和跨轨分辨率。由于高度决定了接触点所包含的像素面积,而分辨率决定了图像中接触点的畸变,因此迭代纹理测量窗口是围绕这两个概念构建的。实现多边形判别算法是定位和找到图像中满足类地雷接触纹理分析阈值要求的多边形质心的必要条件。这些方法的应用显示了自动化过程的潜力,能够以最少的用户输入摄取不同类型的侧扫声纳数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automated contact calling visual aid using sequential mathematical processes: Using textural analysis for mine-like contact detection
This paper presents an automated process for finding mine-like contacts by incorporating sequential mathematical processes: textural analysis, polygon discrimination, and dimensional filtering. These processes define a methodology that requires a minimal amount of user input to visually aid the side scan interpreter. The initial focus of this project was to find mine-like objects in high clutter density areas while maintaining a high probability of detection. In order to meet this requirement, a methodology had to be established to combine multiple analytic algorithms. There was also a concerted effort to create a methodology that could be used on a variety of side scan sonar systems. However, in order to discriminate contacts on multiple sonar systems, certain system specifications would have to be incorporated into the process. The key differences between side scan sonar systems necessary for this study are the optimum operating altitude and the along and across track resolutions of the imagery. Since altitude dictates the pixel area encompassed by contacts and resolution determines distortion of the contacts in the imagery, the iterating texture measurement window was built around these two concepts. Implementing a polygon discrimination algorithm became necessary to locate and find the centroid of polygons in the imagery that met textural analysis threshold requirements for a mine-like contact. The application of these methods has shown the potential for an automated process capable of ingesting different types of side scan sonar data with minimal user input.
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