ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-3/W5, 291-296, 2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
20 Aug 2015
C. Iphar1, A. Napoli1, and C. Ray2 1Centre for Research on Risks and Crises, MINES ParisTech, PSL – Research Unisersity - Sophia Antipolis, France
2Naval Academy Research Institute (IRENav), Brest, France
Keywords: Maritime positioning data, Data quality, data falsification Abstract. The 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.
Conference paper (PDF, 734 KB)

Citation: Iphar, C., Napoli, A., and Ray, C.: DATA QUALITY ASSESSMENT FOR MARITIME SITUATION AWARENESS, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-3/W5, 291-296,, 2015.

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