Next step for Big Data Infrastructure and Analytics for the Surveillance of the Maritime Traffic from AIS \& Sentinel Satellite Data Streams

Abstract : The surveillance of the maritime traffic is a major issue for security and monitoring issues. Spaceborne technologies, especially satellite AIS ship tracking and high-resolution imaging, open new avenues to address these issues. Current operational systems cannot fully benefit from the available and upcoming multi-source data streams. In this context, SESAME initiative aims to develop new big-data-oriented approaches to deliver novel solutions for the management, analysis and visualisation of multi-source satellite data streams going beyond the CLS implementation. Targeted at the automatic generation and documenting of early warnings, our key originality lies in a big-data approach to jointly address these challenges based on the complementarity of the scientific and operational expertise gathered in the consortium: big-data platforms, mining strategies for time series and trajectory data, Sat-AIS signal analysis, high-resolution satellite imaging.
Type de document :
Communication dans un congrès
BiDS 2017 : Big Data from Space Conference, Nov 2017, Toulouse, France. Proceedings BiDS 2017 : Big Data from Space Conference, 2017
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https://hal.archives-ouvertes.fr/hal-01756071
Contributeur : Bibliothèque Télécom Bretagne <>
Soumis le : samedi 31 mars 2018 - 15:56:14
Dernière modification le : vendredi 22 juin 2018 - 01:18:49

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  • HAL Id : hal-01756071, version 1

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Ronan Fablet, Nicolas Bellec, Laetitia Chapel, Chloe Friguet, René Garello, et al.. Next step for Big Data Infrastructure and Analytics for the Surveillance of the Maritime Traffic from AIS \& Sentinel Satellite Data Streams. BiDS 2017 : Big Data from Space Conference, Nov 2017, Toulouse, France. Proceedings BiDS 2017 : Big Data from Space Conference, 2017. 〈hal-01756071〉

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