{"title":"基于分布式计算的三维多波束测深数据处理。在安全航行中降低虚警和无监督水下目标识别中的应用","authors":"G. Matte, F. Chaillan, A. Heinzle","doi":"10.1109/OCEANSE.2019.8867293","DOIUrl":null,"url":null,"abstract":"The goal of this study is to take advantage of artificial intelligence (AI) algorithms and distributed computing ecosystem to enhance the 3D-multibeam echo sounder data processing functionality. We consider first the post processing case, where a complete dataset has been recorded during sea trials. Hence, our suggested framework designed for massive real world data processing allows employing false alarm reduction and underwater object recognition techniques, which can be easily used as decision making for underwater autonomous vehicle safe navigation.","PeriodicalId":375793,"journal":{"name":"OCEANS 2019 - Marseille","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"3D Multibeam Echo Sounder Data Processing Using Distributed Computing. Application To False Alarm Reduction And Unsupervised Underwater Object Recognition For Safe Navigation\",\"authors\":\"G. Matte, F. Chaillan, A. Heinzle\",\"doi\":\"10.1109/OCEANSE.2019.8867293\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The goal of this study is to take advantage of artificial intelligence (AI) algorithms and distributed computing ecosystem to enhance the 3D-multibeam echo sounder data processing functionality. We consider first the post processing case, where a complete dataset has been recorded during sea trials. Hence, our suggested framework designed for massive real world data processing allows employing false alarm reduction and underwater object recognition techniques, which can be easily used as decision making for underwater autonomous vehicle safe navigation.\",\"PeriodicalId\":375793,\"journal\":{\"name\":\"OCEANS 2019 - Marseille\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"OCEANS 2019 - Marseille\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/OCEANSE.2019.8867293\",\"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 2019 - Marseille","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/OCEANSE.2019.8867293","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
3D Multibeam Echo Sounder Data Processing Using Distributed Computing. Application To False Alarm Reduction And Unsupervised Underwater Object Recognition For Safe Navigation
The goal of this study is to take advantage of artificial intelligence (AI) algorithms and distributed computing ecosystem to enhance the 3D-multibeam echo sounder data processing functionality. We consider first the post processing case, where a complete dataset has been recorded during sea trials. Hence, our suggested framework designed for massive real world data processing allows employing false alarm reduction and underwater object recognition techniques, which can be easily used as decision making for underwater autonomous vehicle safe navigation.
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