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Non-supervised Machine Learning Algorithms for Radar Clutter High-Resolution Doppler Segmentation and Pathological Clutter Analysis

hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierThales LAS France
dc.contributor.authorCABANES, Yann
hal.structure.identifierThales Air Systems
dc.contributor.authorBARBARESCO, Frédéric
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorARNAUDON, Marc
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorBIGOT, Jérémie
dc.date.accessioned2024-04-04T02:52:07Z
dc.date.available2024-04-04T02:52:07Z
dc.date.conference2019-06-26
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/192033
dc.description.abstractEnHere we propose a method to classify radar clutter from radar data using a non-supervised classification algorithm. Thus new radars will be able to use the experience of other radars, which will improve their performance: learning pathological radar clutter can be used to fix some false alarm rate created by strong echoes coming from hail, rain, waves, mountains, cities; it will also improve the detectability of slow moving targets, like drones, which can be hidden in the clutter, flying close to the landform.
dc.language.isoen
dc.source.title2019 20th International Radar Symposium (IRS)
dc.title.enNon-supervised Machine Learning Algorithms for Radar Clutter High-Resolution Doppler Segmentation and Pathological Clutter Analysis
dc.typeCommunication dans un congrès
dc.identifier.doi10.23919/IRS.2019.8768140
dc.subject.halMathématiques [math]
dc.subject.halMathématiques [math]/Géométrie métrique [math.MG]
dc.subject.halInformatique [cs]/Intelligence artificielle [cs.AI]
dc.subject.halSciences de l'ingénieur [physics]/Traitement du signal et de l'image
dc.subject.halStatistiques [stat]
dc.subject.halPhysique [physics]
dc.subject.halInformatique [cs]
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.conference.titleInternational Radar Symposium
bordeaux.countryDE
bordeaux.title.proceeding2019 20th International Radar Symposium (IRS)
bordeaux.conference.cityUlm
bordeaux.peerReviewedoui
hal.identifierhal-02875365
hal.version1
hal.invitednon
hal.proceedingsoui
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02875365v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.btitle=2019%2020th%20International%20Radar%20Symposium%20(IRS)&rft.au=CABANES,%20Yann&BARBARESCO,%20Fr%C3%A9d%C3%A9ric&ARNAUDON,%20Marc&BIGOT,%20J%C3%A9r%C3%A9mie&rft.genre=unknown


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