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Data Quality Assessment for Maritime Situation Awareness

hal.structure.identifierCentre de recherche sur les Risques et les Crises [CRC]
dc.contributor.authorIPHAR, Clément
hal.structure.identifierCentre de recherche sur les Risques et les Crises [CRC]
dc.contributor.authorNAPOLI, Aldo
hal.structure.identifierInstitut de Recherche de l'Ecole Navale [IRENAV]
dc.contributor.authorRAY, Cyril
dc.contributor.editorC. Mallet
dc.contributor.editorN. Paparoditis
dc.contributor.editorI. Dowman
dc.contributor.editorS. Oude Elberink
dc.contributor.editorA.-M. Raimond
dc.contributor.editorF. Rottensteiner
dc.contributor.editorM. Yang
dc.contributor.editorS. Christophe
dc.contributor.editorA. Çöltekin
dc.contributor.editorand M. Brédif
dc.date.accessioned2021-05-14T09:54:29Z
dc.date.available2021-05-14T09:54:29Z
dc.date.issued2015
dc.date.conference2015-09-28
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/77613
dc.description.abstractEnThe Automatic Identification System (AIS) initially designed to ensure maritime security through continuous position reports has been progressively used for many extended objectives. In particular it supports a global monitoring of the maritime domain for various purposes like safety and security but also traffic management, logistics or protection of strategic areas, etc. In this monitoring, data errors, misuse, irregular behaviours at sea, malfeasance mechanisms and bad navigation practices have inevitably emerged either by inattentiveness or voluntary actions in order to circumvent, alter or exploit such a system in the interests of offenders. This paper introduces the AIS system and presents vulnerabilities and data quality assessment for decision making in maritime situational awareness cases. The principles of a novel methodological approach for modelling, analysing and detecting these data errors and falsification are introduced.
dc.language.isoen
dc.source.titleISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Annals
dc.subject.enmaritime positioning data
dc.subject.endata quality
dc.subject.endata falsification
dc.title.enData Quality Assessment for Maritime Situation Awareness
dc.typeCommunication dans un congrès avec actes
dc.identifier.doi10.5194/isprsannals-II-3-W5-291-2015
bordeaux.volumeII-3/W5
bordeaux.hal.laboratoriesInstitut de Mécanique et d’Ingénierie de Bordeaux (I2M) - UMR 5295*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.institutionINRAE
bordeaux.institutionArts et Métiers
bordeaux.countryFR
bordeaux.title.proceedingISSDQ 2015 - The 9th International Symposium on Spatial Data Quality
bordeaux.conference.cityLa Grande Motte
bordeaux.peerReviewedoui
hal.identifierhal-01269684
hal.version1
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01269684v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.btitle=ISPRS%20Annals%20of%20the%20Photogrammetry,%20Remote%20Sensing%20and%20Spatial%20Information%20Sciences%20-%20ISPRS%20Annals&rft.date=2015&rft.volume=II-3/W5&rft.au=IPHAR,%20Cl%C3%A9ment&NAPOLI,%20Aldo&RAY,%20Cyril&rft.genre=proceeding


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