{"title":"SeaBeam 2100系统的实时测深信号","authors":"S.E. Spitzak, K. Talukdar","doi":"10.1109/OCEANS.1997.624117","DOIUrl":null,"url":null,"abstract":"An algorithm for flagging anomalous multibeam data in real-time is presented. Requirements for the design were the ability to perform effectively in the varying depths and seafloor conditions the SeaBeam 2100 system may encounter without slowing real-time data processing or flagging more than 5% of the good beams in the data. The algorithm consists of three filters: (1) Cross Track Distance, (2) Spatial Scarcity and (3) Depth Anomaly. Upon testing on nine sonar files with different depth ranges and topography, the filter agreed with hand editing 94% on average.","PeriodicalId":259593,"journal":{"name":"Oceans '97. MTS/IEEE Conference Proceedings","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Real-time bathymetric artifact flagging for the SeaBeam 2100 system\",\"authors\":\"S.E. Spitzak, K. Talukdar\",\"doi\":\"10.1109/OCEANS.1997.624117\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An algorithm for flagging anomalous multibeam data in real-time is presented. Requirements for the design were the ability to perform effectively in the varying depths and seafloor conditions the SeaBeam 2100 system may encounter without slowing real-time data processing or flagging more than 5% of the good beams in the data. The algorithm consists of three filters: (1) Cross Track Distance, (2) Spatial Scarcity and (3) Depth Anomaly. Upon testing on nine sonar files with different depth ranges and topography, the filter agreed with hand editing 94% on average.\",\"PeriodicalId\":259593,\"journal\":{\"name\":\"Oceans '97. MTS/IEEE Conference Proceedings\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-10-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Oceans '97. MTS/IEEE Conference Proceedings\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/OCEANS.1997.624117\",\"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 '97. MTS/IEEE Conference Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/OCEANS.1997.624117","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Real-time bathymetric artifact flagging for the SeaBeam 2100 system
An algorithm for flagging anomalous multibeam data in real-time is presented. Requirements for the design were the ability to perform effectively in the varying depths and seafloor conditions the SeaBeam 2100 system may encounter without slowing real-time data processing or flagging more than 5% of the good beams in the data. The algorithm consists of three filters: (1) Cross Track Distance, (2) Spatial Scarcity and (3) Depth Anomaly. Upon testing on nine sonar files with different depth ranges and topography, the filter agreed with hand editing 94% on average.