{"refrec":{"BRefID":337509,"RR":"<b>De Kerf, T.; Gladines, J.; Sels, S.; Vanlanduit, S.</b> (2020). Oil spill detection using machine learning and infrared images. <i>Remote Sens. 12(24)</i>: 4090. <a href=\"https://hdl.handle.net/10.3390/rs12244090\" target=\"_blank\">https://hdl.handle.net/10.3390/rs12244090</a>","BEntID":334132,"PublicFlag":1,"CheckedFlag":1,"wosflag":1,"vabbflag":1,"RefStringPartII":". <i>Remote Sens. 12(24)</i>: 4090. <a href=\"https://hdl.handle.net/10.3390/rs12244090\" target=\"_blank\">https://hdl.handle.net/10.3390/rs12244090</a>","DocTypID":8,"DocType":"Journal article","MarineFlag":1,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"Authorstring":"De Kerf, T.; Gladines, J.; Sels, S.; Vanlanduit, S.","OrigTitleTranslFlag":0,"Authorstringtrunc":"De Kerf, T. <i>et al.</i>","Englishabstract":"The detection of oil spills in water is a frequently researched area, but most of the research has been based on very large patches of crude oil on offshore areas. We present a novel framework for detecting oil spills inside a port environment, while using unmanned areal vehicles (UAV) and a thermal infrared (IR) camera. This framework is split into a training part and an operational part. In the training part, we present a process for automatically annotating RGB images and matching them with the IR images in order to create a dataset. The infrared imaging camera is crucial to be able to detect oil spills during nighttime. This dataset is then used to train on a convolutional neural network (CNN). Seven different CNN segmentation architectures and eight different feature extractors are tested in order to find the best suited combination for this task. In the operational part, we propose a method to have a real-time, onboard UAV oil spill detection using the pre-trained network and a low power interference device. A controlled experiment in the port of Antwerp showed that we are able to achieve an accuracy of 89% while only using the IR camera.","AbstractOtherLang":null,"BibLvlCode":"AS","StandardTitle":"Oil spill detection using machine learning and infrared images","OrigTitleLangCode":"en","OrigTitleLangCodeExtended":"eng","OrigTitleLangID":15,"DateLastModified":{"date":"2026-04-25 01:33:18.427596","timezone_type":1,"timezone":"+02:00"},"UserAccessRight":null,"UserAccID":null,"AuthorKeywords":"oil spill detection; machine learning; infrared imaging; image segmentation; drone imaging","OtherDescriptors":null,"Notes":null,"AnaPub":2020,"MonPub":null,"DateUpdate":"2021-09-08","DateCreate":"2021-05-17","SecASFANote":null,"ConfID":null,"PeerRev":1,"VlizCoreFlag":1,"WoScode":"WOS:000603228000001","VABBcode":null,"OpenAcc":1,"Handle":"10.3390/rs12244090"},"refs":null,"anarec":{"AnaID":337509,"PubliDate":2020,"Pagination":"4090","XtraPublOfAnaID":null,"ISBN":null,"Volume":"12","Issue":"24","BRefMon":null,"BRefMonRR":null,"BRefXtra":null,"BRefXtraRR":null,"SerBRefID":221386,"SerRR":"Remote Sensing. MDPI: Basel.  ISSN 2072-4292; e-ISSN 2072-4292","StandardTitleSer":"Remote Sensing","ISSN":"2072-4292","AbbrevSer":"Remote Sens.","StandardTitleMon":null,"StartPage":13,"Pages":null,"ToPubliDate":null,"BRefBibLvlCode":"S","SerNotes":null},"monrec":null,"serrec":null,"relations":null,"relationsRev":null,"addrec":null,"othpubs":null,"ownerships":null,"authors":[{"AutName":"De Kerf","Firstname":"Thomas","Initials":"T.","Affiliation":"Op3Mech, Faculty of Applied Engineering, University of Antwerp","Discriminator":null,"CorporateFlag":0,"BEntID":334132,"AutID":447639,"OrderNr":1,"DegrID":null,"EditorFlag":0,"CorrespFlag":0,"IllustratorFlag":0,"ReviserFlag":0,"TranslatorFlag":0,"InsAcronym":"InViLab Op3Mech","InsFSN":"Universiteit Antwerpen; Industrial Vision Lab","ORCID":"0000-0002-9368-3060","PersID":39970,"InsID":14793},{"AutName":"Gladines","Firstname":"Jona","Initials":"J.","Affiliation":"Op3Mech, Faculty of Applied Engineering, University of Antwerp","Discriminator":null,"CorporateFlag":0,"BEntID":334132,"AutID":447640,"OrderNr":2,"DegrID":null,"EditorFlag":0,"CorrespFlag":0,"IllustratorFlag":0,"ReviserFlag":0,"TranslatorFlag":0,"InsAcronym":"InViLab Op3Mech","InsFSN":"Universiteit Antwerpen; Industrial Vision Lab","ORCID":"0000-0002-9306-5078","PersID":40467,"InsID":14793},{"AutName":"Sels","Firstname":"Seppe","Initials":"S.","Affiliation":"Op3Mech, Faculty of Applied Engineering, University of Antwerp","Discriminator":null,"CorporateFlag":0,"BEntID":334132,"AutID":447641,"OrderNr":3,"DegrID":null,"EditorFlag":0,"CorrespFlag":0,"IllustratorFlag":0,"ReviserFlag":0,"TranslatorFlag":0,"InsAcronym":"InViLab Op3Mech","InsFSN":"Universiteit Antwerpen; Industrial Vision Lab","ORCID":"0000-0002-0590-2770","PersID":40468,"InsID":14793},{"AutName":"Vanlanduit","Firstname":"Steve","Initials":"S.","Affiliation":"Op3Mech, Faculty of Applied Engineering, University of Antwerp","Discriminator":null,"CorporateFlag":0,"BEntID":334132,"AutID":447642,"OrderNr":4,"DegrID":null,"EditorFlag":0,"CorrespFlag":0,"IllustratorFlag":0,"ReviserFlag":0,"TranslatorFlag":0,"InsAcronym":"InViLab Op3Mech","InsFSN":"Universiteit Antwerpen; Industrial Vision Lab","ORCID":"0000-0002-7975-1338","PersID":33638,"InsID":14793}],"mapdetails":null,"datasets":null,"monographs":null,"monparts":null,"serparts":null,"BEntOpen":null,"BEntPrivate":null,"availability":[{"BInstID":361109,"LibID":36,"BRefID":337509,"EmbargoDate":null,"FullEmbargoDate":null,"PhysMedID":16,"hasOCRd":1,"ShelfLocCode":"361109","RFID":null,"PaidValue":null,"Medium":"Server","Description":"VLIZ Open Access","Acronym":"VLIZ","Library":"Vlaams Instituut voor de Zee","DutchTerm":"Open access","URL":null,"ClassifID":53,"Classification":"Open access","ReqLink":null,"ClassifTypID":1,"URLLocation":"https://www.vliz.be/imisdocs/publications/","SubDir":null,"InternalReq":0,"LoggedInReq":0,"Disclaimer":null,"DutchDisclaimer":null,"FileFormat":".pdf","FileDescr":"pdf","InsPub":1,"InsID":36,"FileFormID":6,"LendableFlag":1,"PublicFlag":1,"orderLib":"A","Notes":null,"AccConID":null,"AccessConstraint":null,"LicURL":null}],"litstyles":null,"thespers":null,"arch2discl":null,"SERpubls":[{"PublName":"MDPI","City":"Basel"}],"MONpubls":null,"pictures":[],"thestermsPath":null,"thestermsASFA":null,"taxtermsASFA":null,"geotermsASFA":null,"collections":[{"Collection":"OMA - Open Marien Archief","ShortName":"OMA"},{"Collection":"ScheldeMonitor","ShortName":"scheldemonitor"}],"conf":null,"proj":null,"Physdatasets":null,"spcols":{"222":{"SpName":"BMB - Belgische Mariene Bibliografie","SpColID":222,"ParSpColID":null,"TopParID":null,"ShortName":"BMB","URLLocation":null,"LibID":36,"OpenRepoFlag":null,"SpTypID":null,"TopParIDNotWebsite":null,"SpColPath":"BMB"},"867":{"SpName":"IMIS themes","SpColID":867,"ParSpColID":null,"TopParID":null,"ShortName":"IMIS themes","URLLocation":null,"LibID":null,"OpenRepoFlag":null,"SpTypID":null,"TopParIDNotWebsite":null,"SpColPath":"IMIS themes"},"52":{"SpName":"Methods and techniques","SpColID":52,"ParSpColID":867,"TopParID":867,"ShortName":"Methodes en technieken","URLLocation":null,"LibID":null,"OpenRepoFlag":null,"SpTypID":null,"TopParIDNotWebsite":867,"SpColPath":"IMIS themes/Methodes en technieken"},"221":{"SpName":"OMA - Open Marien Archief","SpColID":221,"ParSpColID":null,"TopParID":null,"ShortName":"OMA","URLLocation":null,"LibID":36,"OpenRepoFlag":1,"SpTypID":null,"TopParIDNotWebsite":null,"SpColPath":"OMA"},"27":{"SpName":"ScheldeMonitor","SpColID":27,"ParSpColID":null,"TopParID":null,"ShortName":"scheldemonitor","URLLocation":null,"LibID":null,"OpenRepoFlag":null,"SpTypID":null,"TopParIDNotWebsite":null,"SpColPath":"scheldemonitor"}},"doi":null,"publs":null,"serparttypes":null,"monauthors":null,"MParts":null,"SParts":null,"hLibs":null,"langs":[{"BEntID":334132,"AbstractFlag":0,"LangID":15,"LangCode":"en","Lang":"English","DutchTerm":"Engels","LangCodeExtended":"eng"},{"BEntID":334132,"AbstractFlag":1,"LangID":15,"LangCode":"en","Lang":"English","DutchTerm":"Engels","LangCodeExtended":"eng"}],"urls":[{"URL":"https://hdl.handle.net/10.3390/rs12244090","externalID":"10.3390/rs12244090","URLTypeCode":"Handle","URLID":93173,"URLTypID":32,"URLType":"Handle","URLPrefix":"https://hdl.handle.net/"}],"thesterms":null,"taxterms":null,"geoterms":null,"othterms":null,"asfacodes":null,"asfa2codes":null,"thestermsFRIS":null,"taxtermsFRIS":null,"geotermsFRIS":null,"othtermsFRIS":null,"resmessage":"","complete":1,"sessions":{"newSesName":"Bouchti, Zohra, Z.","newSesDate":{"date":"2021-05-17 16:42:41.567000","timezone_type":3,"timezone":"Europe/Brussels"},"updSesName":"Bouchti, Zohra, Z.","updSesDate":{"date":"2021-09-08 07:25:08.487000","timezone_type":3,"timezone":"Europe/Brussels"}}}