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  • 27 mars
    2017
    14:00 › 16:00

    Soutenance de thèse de Marza Ihsan Marzuki : « VMS data analyses and modeling for the monitoring and surveillance of Indonesian fisheries »

    Soutenance de thèse de Marza Ihsan Marzuki : « VMS data analyses and modeling for the monitoring and surveillance of  Indonesian fisheries » › Lieu : IMT Atlantique, campus de Brest, petit amphithéâtre
    › Contact : Martine Besnard, direction scientifique - martine.besnard@imt-atlantique.fr
    › En savoir + : Monitoring, control and surveillance (MCS) of marine fisheries are critical issues for the sustainable management of marine fisheries. In this thesis we investigate the space-based monitoring of fishing vessel activities using Vessel Monitoring System (VMS) trajectory data in the context of INDESO project (2013-2017). Our general objective of this thesis is to develop a processing chain of VMS data in order to: i) perform a follow-up of the fishing effort of the various Indonesian fleets, ii) detect illegal fishing activities and assess their importance.

    The proposed approach relies on classical latent class models, namely Gaussian Mixture Models (GMM) and Hidden Markov Models (HMM), with a view to identifying elementary fishing vessel behaviors, such as travelling, searching and fishing activities, in a unsupervised framework. Following state-of-the-art approaches, we consider different parameterizations of these models with a specific focus on Indonesian longliners, for which we can benefit from at-sea observers’ data to proceed to a quantitative evaluation. We then exploit these statistical models for two different objectives: a) the discrimination of different fishing fleets from fishing vessel trajectories and the application to the detection and assessment of illegal fishing activities, b) the assessment of a spatialized fishing effort from VMS data.
    We report good recognition rate (about 97%) for the former task and our experiments support the potential for an operational exploration of the proposed approach.
    Due to limited at-sea observers’ data, only preliminary analyses could be carried out for the proposed VMS-derived fishing effort. Beyond potential methodological developments, this thesis emphasizes the importance of high-quality and representative at-sea observer data for further developing the exploitation of VMS data both for research and operational issues.