用于探测冰下溺水者的地面穿透雷达。

IF 1.4 4区 医学 Q3 MEDICINE, LEGAL
Forensic Sciences Research Pub Date : 2023-12-08 eCollection Date: 2023-12-01 DOI:10.1093/fsr/owad040
Gordon G Giesbrecht, Mitesh Patel, Rafid Javid, Scott Murray, Vrushil Patel, Noah Wiens, Darren Xie, Ian Jeffrey, Philip Ferguson
{"title":"用于探测冰下溺水者的地面穿透雷达。","authors":"Gordon G Giesbrecht, Mitesh Patel, Rafid Javid, Scott Murray, Vrushil Patel, Noah Wiens, Darren Xie, Ian Jeffrey, Philip Ferguson","doi":"10.1093/fsr/owad040","DOIUrl":null,"url":null,"abstract":"<p><p>Every year, people drown after falling through ice on rivers and lakes. In some cases, the body of the victim floats up to the underside of the ice, making detection and recovery difficult using traditional search methods with divers. A robust and contact-less sensing system is required to locate drowning victims that does not put rescue teams at risk of falling through the ice themselves. In this paper, we demonstrate the feasibility of a ground penetrating radar (GPR) for detecting deceased drowning victims that have floated up to the underside of the ice. We placed three euthanized pigs simulating drowning victims under ice ranging in thickness from 5 to 26 cm. We dragged a GPR at 500 MHz and 1 GHz across the ice to detect the simulated victims using an autocorrelation-based detection technique. Results showed that both frequencies were able to detect the rough shape of the simulated victims at ice thicknesses up to 42 cm, with the 1-GHz data showing slightly more resolution than the 500-MHz data. These results show promise and suggest future development of an autonomous drone-based GPR detection system.</p><p><strong>Key points: </strong>Floating bodies are successfully detected under both ice and snow using a commercial ground penetrating radar system with ice depths reaching up to 26 cm in a controlled environment.The differences between using radar systems operating at/around 500 MHz and 1 GHz were not pronounced from the point of view of detection.Future studies should investigate the capabilities for detecting bodies in more realistic settings.</p>","PeriodicalId":45852,"journal":{"name":"Forensic Sciences Research","volume":"8 4","pages":"280-287"},"PeriodicalIF":1.4000,"publicationDate":"2023-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10894067/pdf/","citationCount":"0","resultStr":"{\"title\":\"Ground penetrating radar used to detect drowning victims under ice.\",\"authors\":\"Gordon G Giesbrecht, Mitesh Patel, Rafid Javid, Scott Murray, Vrushil Patel, Noah Wiens, Darren Xie, Ian Jeffrey, Philip Ferguson\",\"doi\":\"10.1093/fsr/owad040\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Every year, people drown after falling through ice on rivers and lakes. In some cases, the body of the victim floats up to the underside of the ice, making detection and recovery difficult using traditional search methods with divers. A robust and contact-less sensing system is required to locate drowning victims that does not put rescue teams at risk of falling through the ice themselves. In this paper, we demonstrate the feasibility of a ground penetrating radar (GPR) for detecting deceased drowning victims that have floated up to the underside of the ice. We placed three euthanized pigs simulating drowning victims under ice ranging in thickness from 5 to 26 cm. We dragged a GPR at 500 MHz and 1 GHz across the ice to detect the simulated victims using an autocorrelation-based detection technique. Results showed that both frequencies were able to detect the rough shape of the simulated victims at ice thicknesses up to 42 cm, with the 1-GHz data showing slightly more resolution than the 500-MHz data. These results show promise and suggest future development of an autonomous drone-based GPR detection system.</p><p><strong>Key points: </strong>Floating bodies are successfully detected under both ice and snow using a commercial ground penetrating radar system with ice depths reaching up to 26 cm in a controlled environment.The differences between using radar systems operating at/around 500 MHz and 1 GHz were not pronounced from the point of view of detection.Future studies should investigate the capabilities for detecting bodies in more realistic settings.</p>\",\"PeriodicalId\":45852,\"journal\":{\"name\":\"Forensic Sciences Research\",\"volume\":\"8 4\",\"pages\":\"280-287\"},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2023-12-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10894067/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Forensic Sciences Research\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1093/fsr/owad040\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2023/12/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q3\",\"JCRName\":\"MEDICINE, LEGAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Forensic Sciences Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/fsr/owad040","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/12/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"MEDICINE, LEGAL","Score":null,"Total":0}
引用次数: 0

摘要

每年都会有人在坠入河流和湖泊的冰层后溺水身亡。在某些情况下,溺水者的身体会漂浮在冰面下,因此很难使用传统的潜水员搜索方法进行探测和打捞。我们需要一种强大的非接触式传感系统来确定溺水者的位置,同时又不会使救援队面临自身坠入冰层的风险。在本文中,我们展示了利用地面穿透雷达(GPR)探测漂浮到冰层底部的溺水者的可行性。我们将三头安乐死的猪模拟溺水者放置在厚度从 5 厘米到 26 厘米不等的冰层下。我们在冰面上拖动频率分别为 500 MHz 和 1 GHz 的 GPR,使用基于自相关的探测技术来探测模拟受害者。结果显示,两种频率都能探测到冰层厚度达 42 厘米时模拟受害者的大致形状,其中 1 GHz 数据的分辨率略高于 500 MHz 数据。这些结果表明未来有望开发基于无人机的自主 GPR 探测系统:在受控环境下,使用商用地面穿透雷达系统成功探测到冰雪下的浮尸,冰层深度可达 26 厘米。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ground penetrating radar used to detect drowning victims under ice.

Every year, people drown after falling through ice on rivers and lakes. In some cases, the body of the victim floats up to the underside of the ice, making detection and recovery difficult using traditional search methods with divers. A robust and contact-less sensing system is required to locate drowning victims that does not put rescue teams at risk of falling through the ice themselves. In this paper, we demonstrate the feasibility of a ground penetrating radar (GPR) for detecting deceased drowning victims that have floated up to the underside of the ice. We placed three euthanized pigs simulating drowning victims under ice ranging in thickness from 5 to 26 cm. We dragged a GPR at 500 MHz and 1 GHz across the ice to detect the simulated victims using an autocorrelation-based detection technique. Results showed that both frequencies were able to detect the rough shape of the simulated victims at ice thicknesses up to 42 cm, with the 1-GHz data showing slightly more resolution than the 500-MHz data. These results show promise and suggest future development of an autonomous drone-based GPR detection system.

Key points: Floating bodies are successfully detected under both ice and snow using a commercial ground penetrating radar system with ice depths reaching up to 26 cm in a controlled environment.The differences between using radar systems operating at/around 500 MHz and 1 GHz were not pronounced from the point of view of detection.Future studies should investigate the capabilities for detecting bodies in more realistic settings.

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
Forensic Sciences Research
Forensic Sciences Research MEDICINE, LEGAL-
CiteScore
3.60
自引率
7.70%
发文量
158
审稿时长
26 weeks
×
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