M. Riveiro and G. Falkman, The role of visualization and interaction in maritime anomaly detection, Visualization and Data Analysis 2011, p.78680, 2011.
DOI : 10.1117/12.871801

G. Vatin and A. Napoli, Guiding the controller in geovisual analytics to improve maritime surveillance, Proc. of GEOProcessing 2013: The Fifth International Conference on Advanced Geographic Information Systems, Applications, and Services, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00799317

J. Roy, Anomaly detection in the maritime domain, Optics and Photonics in Global Homeland Security IV, 2008.
DOI : 10.1117/12.776230

J. Van-laere and M. Nilsson, Evaluation of a workshop to capture knowledge from subject matter experts in maritime surveillance, Proc. of the 12 th international Information Fusion Conference, pp.171-178, 2009.

G. Pallotta, M. Vespe, and K. Bryan, Vessel Pattern Knowledge Discovery from AIS Data: A Framework for Anomaly Detection and Route Prediction, Entropy, vol.15, issue.6, pp.22218-2245, 2013.
DOI : 10.3390/e15062218

B. Idiri, « Méthodologie d'extraction de connaissances spatiotemporelles par fouille de données pour l'analyse de comportements à risques ? Application à la surveillance maritime, 2013.

B. Idiri and A. Napoli, The automatic identification system of maritime accident risk using rule-based reasoning, 2012 7th International Conference on System of Systems Engineering (SoSE), pp.125-130, 2012.
DOI : 10.1109/SYSoSE.2012.6384140

URL : https://hal.archives-ouvertes.fr/hal-00736167

Z. Li, M. Ji, J. G. Lee, L. A. Tang, and J. Han, MoveMine, Proceedings of the 2010 international conference on Management of data, SIGMOD '10, 2010.
DOI : 10.1145/1807167.1807319

A. Vandecasteele, « Modélisation ontologique des connaissances expertes pour l'analyse de comportements à risque ? Application à la surveillance maritime, 2012.

A. Vandecasteele, R. Devillers, and A. Napoli, A semisupervised learning frameworkbas ed on spatio-temporal semantic events for maritime anomaly detection and behavior analysis, Proc. of CoastGIS 2013 -The 11th International Symposium for GIS and Computer Cartography for Coastal Zone Management, 2013.

Z. Yan, D. Chakraborty, C. Parent, S. Spaccapietra, and K. Aberer, Semantic trajectories, ACM Transactions on Intelligent Systems and Technology, vol.4, issue.3, pp.1-34, 2012.
DOI : 10.1145/2483669.2483682

G. Vatin, Formalisation d'un environnement d'aide à l'analyse géovisuelle ? Application à la sécurité et sûreté de la maritimisation de l'énergie, 2014.

G. Vatin, A. Napoli, G. Vatin, E. Rigaud, and A. Napoli, High-Level Taxonomy of Geovisual Analytics Tasks for Maritime Surveillance Geovisual Analytics Environment for Supporting the Resilience of Maritime Surveillance System, Proc. 26th International Cartographic Conference Proc. of The Council of Engineering Systems Universities (CESUN). CESUN 2014, 4th International Engineering Systems Symposium, 2013.

G. Vatin and A. Napoli, Using Ontologies for Proposing Adequate Geovisual Analytics Solutions in the Analysis of Trajectories, 2014 18th International Conference on Information Visualisation, pp.176-182, 2014.
DOI : 10.1109/IV.2014.26

URL : https://hal.archives-ouvertes.fr/hal-01026364

M. J. Kraak, Visualization viewpoints: beyond geovisualization, IEEE Computer Graphics and Applications, vol.26, issue.4, pp.6-9, 2006.
DOI : 10.1109/MCG.2006.74

N. Andrienko and G. Andrienko, Visual analytics of movement: An overview of methods, tools and procedures, Information Visualization, vol.24, issue.10, pp.3-24, 2013.
DOI : 10.1177/1473871612457601

N. Willems, Visualization of Vessel Traffic, 2011.
DOI : 10.1007/978-1-4614-6230-9_5

M. Riveiro, Visual analytics for maritime anomaly detection, 2011.