Seabed characterisation consists in the study of the physical and biological properties of the bottom of the oceans. It is effectively achieved with sonar, a remote sensing method that captures acoustic backscatter of the seabed. Classical Machine Learning (ML) and Deep Learning (DL) research have failed to successfully address the automatic mapping of the seabed from noisy sonar data. This work introduces the Deep Supervised Semantic Segmentation model for Seabed Characterisation (D4SC), a novel U-Net-like model tailored to such data and low-label regime, and proposes a new end-to-end processing pipeline for seabed semantic segmentation. That dual contribution achieves state-of-the-art results on a high resolution Synthetic Aperture Sonar (SAS) survey dataset.","AbstractOtherLang":null,"BibLvlCode":"AM","StandardTitle":"D4SC: deep supervised semantic segmentation for seabed characterization in low-label regime","OrigTitleLangCode":"en","OrigTitleLangCodeExtended":"eng","OrigTitleLangID":15,"DateLastModified":{"date":"2024-12-10 01:33:17.368041","timezone_type":1,"timezone":"+01:00"},"UserAccessRight":null,"UserAccID":null,"AuthorKeywords":"Seabed; Semantic Segmentation; Synthetic Aperture Sonar; Deep Learning","OtherDescriptors":null,"Notes":null,"AnaPub":2023,"MonPub":null,"DateUpdate":"2024-04-06","DateCreate":"2024-03-26","SecASFANote":null,"ConfID":null,"PeerRev":0,"VlizCoreFlag":1,"WoScode":"WOS:001098971606252","VABBcode":null,"OpenAcc":0,"DOI":"10.1109/IGARSS52108.2023.10282903"},"refs":null,"anarec":{"AnaID":391532,"PubliDate":2023,"Pagination":"6932-6935","XtraPublOfAnaID":null,"ISBN":"979-8-3503-3174-5","Volume":null,"Issue":null,"BRefMon":391682,"BRefMonRR":"(2023). IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium: Proceedings. IEEE: USA. ISBN 979-8-3503-3174-5; e-ISBN 979-8-3503-2010-7. ccxxxvi, 4791 pp. https://dx.doi.org/10.1109/IGARSS52108.2023","BRefXtra":null,"BRefXtraRR":null,"SerBRefID":null,"SerRR":null,"StandardTitleSer":null,"ISSN":null,"AbbrevSer":null,"StandardTitleMon":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium: Proceedings","StartPage":6932,"Pages":4,"ToPubliDate":null,"BRefBibLvlCode":"M","SerNotes":null},"monrec":null,"serrec":null,"relations":null,"relationsRev":null,"addrec":null,"othpubs":null,"ownerships":null,"authors":[{"AutName":"Arhant","Firstname":"Yoann","Initials":"Y.","Affiliation":"Dept. of Communications, Information, Systems and Sensors, Royal Military Academy","Discriminator":null,"CorporateFlag":0,"BEntID":389279,"AutID":563558,"OrderNr":1,"DegrID":null,"EditorFlag":0,"CorrespFlag":0,"IllustratorFlag":0,"ReviserFlag":0,"TranslatorFlag":0,"InsAcronym":"RMA","InsFSN":"Royal Military Academy","ORCID":null,"PersID":44477,"InsID":9791},{"AutName":"Tellez","Firstname":"Olga Lopera","Initials":"O.L.","Affiliation":"Dept. of Communications, Information, Systems and Sensors, Royal Military Academy","Discriminator":null,"CorporateFlag":0,"BEntID":389279,"AutID":563560,"OrderNr":2,"DegrID":null,"EditorFlag":0,"CorrespFlag":0,"IllustratorFlag":0,"ReviserFlag":0,"TranslatorFlag":0,"InsAcronym":"RMA","InsFSN":"Royal Military Academy","ORCID":null,"PersID":35911,"InsID":9791},{"AutName":"Neyt","Firstname":"Xavier","Initials":"X.","Affiliation":"Dept. of Communications, Information, Systems and Sensors, Royal Military Academy","Discriminator":null,"CorporateFlag":0,"BEntID":389279,"AutID":563561,"OrderNr":3,"DegrID":null,"EditorFlag":0,"CorrespFlag":0,"IllustratorFlag":0,"ReviserFlag":0,"TranslatorFlag":0,"InsAcronym":"RMA","InsFSN":"Royal Military Academy","ORCID":"0000-0002-8992-3877","PersID":31406,"InsID":9791},{"AutName":"Pizurica","Firstname":"Aleksandra","Initials":"A.","Affiliation":"Dept. of Telecommunications and Information Processing, Ghent University","Discriminator":null,"CorporateFlag":0,"BEntID":389279,"AutID":563562,"OrderNr":4,"DegrID":null,"EditorFlag":0,"CorrespFlag":0,"IllustratorFlag":0,"ReviserFlag":0,"TranslatorFlag":0,"InsAcronym":"TELIN","InsFSN":"Universiteit Gent; Department of Telecommunications and Information Processing","ORCID":"0000-0002-9322-4999","PersID":41675,"InsID":14811}],"mapdetails":null,"datasets":null,"monographs":null,"monparts":null,"serparts":null,"BEntOpen":null,"BEntPrivate":null,"availability":[{"BInstID":398968,"LibID":36,"BRefID":391532,"EmbargoDate":null,"FullEmbargoDate":null,"PhysMedID":16,"hasOCRd":null,"ShelfLocCode":"398968","RFID":null,"PaidValue":null,"Medium":"Server","Description":"Interne VLIZ documenten","Acronym":"VLIZ","Library":"Vlaams Instituut voor de Zee","DutchTerm":"Non-open access","URL":null,"ClassifID":228,"Classification":"Non-open access","ReqLink":1,"ClassifTypID":3,"URLLocation":"https://www.vliz.be/imisdocs/publications/","SubDir":1,"InternalReq":1,"LoggedInReq":1,"Disclaimer":"Disclaimer_VLIZ_Intern","DutchDisclaimer":"
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