{"title":"单水听器声纳平台的类sas声学颜色处理","authors":"N. Wachowski, M. Azimi-Sadjadi, R. Holtzapple","doi":"10.1109/OCEANS.2010.5663828","DOIUrl":null,"url":null,"abstract":"This paper addresses the problem of using sonar data collected with a single-hydrophone to generate synthetic aperture sonar (SAS)-like images that display acoustic color information. Our previously-developed SAS-like acoustic color processing typically applies a coherence analysis framework to channels formed using the data of two hydrophone subarrays. Application of this method to single-hydrophone data requires significant modifications to the original framework since a synthetic aperture must be formed over the data from different pings, and hence a different approach to forming the data channels must be used. For this study, data collected using a single hydrophone mounted on a moving rail system that captures a buried underwater object from multiple aspects is used. The images generated by applying both a more conventional omega-k SAS and the revised SAS-like acoustic color processing methods to this data are evaluated based on their ability to provide information useful for detection, identification, and localization of objects.","PeriodicalId":363534,"journal":{"name":"OCEANS 2010 MTS/IEEE SEATTLE","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"SAS-like acoustic color processing for a single-hydrophone sonar platform\",\"authors\":\"N. Wachowski, M. Azimi-Sadjadi, R. Holtzapple\",\"doi\":\"10.1109/OCEANS.2010.5663828\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper addresses the problem of using sonar data collected with a single-hydrophone to generate synthetic aperture sonar (SAS)-like images that display acoustic color information. Our previously-developed SAS-like acoustic color processing typically applies a coherence analysis framework to channels formed using the data of two hydrophone subarrays. Application of this method to single-hydrophone data requires significant modifications to the original framework since a synthetic aperture must be formed over the data from different pings, and hence a different approach to forming the data channels must be used. For this study, data collected using a single hydrophone mounted on a moving rail system that captures a buried underwater object from multiple aspects is used. The images generated by applying both a more conventional omega-k SAS and the revised SAS-like acoustic color processing methods to this data are evaluated based on their ability to provide information useful for detection, identification, and localization of objects.\",\"PeriodicalId\":363534,\"journal\":{\"name\":\"OCEANS 2010 MTS/IEEE SEATTLE\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-12-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"OCEANS 2010 MTS/IEEE SEATTLE\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/OCEANS.2010.5663828\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"OCEANS 2010 MTS/IEEE SEATTLE","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/OCEANS.2010.5663828","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
SAS-like acoustic color processing for a single-hydrophone sonar platform
This paper addresses the problem of using sonar data collected with a single-hydrophone to generate synthetic aperture sonar (SAS)-like images that display acoustic color information. Our previously-developed SAS-like acoustic color processing typically applies a coherence analysis framework to channels formed using the data of two hydrophone subarrays. Application of this method to single-hydrophone data requires significant modifications to the original framework since a synthetic aperture must be formed over the data from different pings, and hence a different approach to forming the data channels must be used. For this study, data collected using a single hydrophone mounted on a moving rail system that captures a buried underwater object from multiple aspects is used. The images generated by applying both a more conventional omega-k SAS and the revised SAS-like acoustic color processing methods to this data are evaluated based on their ability to provide information useful for detection, identification, and localization of objects.