{"title":"声纳图像处理的一些图像工具","authors":"S. Guillaudeux","doi":"10.1109/OCEANS.2001.968329","DOIUrl":null,"url":null,"abstract":"The trend in seafloor imaging towards using multiple sonar sensors with enhanced resolution has resulted in higher volume data sets. As a consequence, users need better, more efficient tools for data processing and interpretation. This paper describes three data processing tools useful for automating and accelerating sonar image formation. All have been validated on real data and all are Triton Elics International application products. The applications support automatic object detection, automatic seafloor classification, and sonar patch tests using backscatter information.","PeriodicalId":326183,"journal":{"name":"MTS/IEEE Oceans 2001. An Ocean Odyssey. Conference Proceedings (IEEE Cat. No.01CH37295)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Some image tools for sonar image processing\",\"authors\":\"S. Guillaudeux\",\"doi\":\"10.1109/OCEANS.2001.968329\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The trend in seafloor imaging towards using multiple sonar sensors with enhanced resolution has resulted in higher volume data sets. As a consequence, users need better, more efficient tools for data processing and interpretation. This paper describes three data processing tools useful for automating and accelerating sonar image formation. All have been validated on real data and all are Triton Elics International application products. The applications support automatic object detection, automatic seafloor classification, and sonar patch tests using backscatter information.\",\"PeriodicalId\":326183,\"journal\":{\"name\":\"MTS/IEEE Oceans 2001. An Ocean Odyssey. Conference Proceedings (IEEE Cat. No.01CH37295)\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-11-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"MTS/IEEE Oceans 2001. An Ocean Odyssey. Conference Proceedings (IEEE Cat. No.01CH37295)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/OCEANS.2001.968329\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"MTS/IEEE Oceans 2001. An Ocean Odyssey. Conference Proceedings (IEEE Cat. No.01CH37295)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/OCEANS.2001.968329","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The trend in seafloor imaging towards using multiple sonar sensors with enhanced resolution has resulted in higher volume data sets. As a consequence, users need better, more efficient tools for data processing and interpretation. This paper describes three data processing tools useful for automating and accelerating sonar image formation. All have been validated on real data and all are Triton Elics International application products. The applications support automatic object detection, automatic seafloor classification, and sonar patch tests using backscatter information.