ENSTA Bretagne - Recherche

hal-00925170v1 Article dans une revue
Ahmed Nait-Chabane, Benoît Zerr, Gilles Le Chenadec. Segmentation des images sonar latéral assurant l'invariance en rasance
Traitement du Signal, Lavoisier, 2013, 30 (3-4-5/2013), pp.119-148. ⟨10.3166/TS.30.119-148⟩

hal-01702300v1 Communication dans un congrès
Laurent Picard, Alexandre Baussard, Gilles Le Chenadec, Isabelle Quidu. Détection de cibles sous-marines dans des champs de rides de sable par imagerie sonar
26e GRETSI 2017, Sep 2017, Juan-les-Pins, France

hal-00904124v1 Communication dans un congrès
Ahmed Nait-Chabane, Benoit Zerr, Gilles Le Chenadec. SPECTRAL DIRECTIONAL FILTER BANK FOR SIDESCAN SONAR SEGMENTATION WITH UNSUPERVISED NEURAL NETWORK APPROACH
UAC 2013 - 1st International Conference and Exhibition on Underwater Acoustics, Jun 2013, Corfu, Greece. pp.1451

hal-00904132v1 Communication dans un congrès
Coralie Monpert, Michel Legris, Gilles Le Chenadec, Benoit Zerr, Jean-Marc Le Caillec. A STUDY OF SINGLE-BEAM ECHO-SOUNDER SEABED CLASSIFICATION BASED ON BACKSCATTERING PHYSIC
UAC 2013 - 1st International Conference and Exhibition on Underwater Acoustics, Jun 2013, Corfu, Greece. pp.1609

hal-01444309v1 Communication dans un congrès
Trung-Kien Nguyen, Didier Charlot, Jean-Marc Boucher, Gilles Le Chenadec, Ronan Fablet. Seabed Classification using a steerable Multibeam Eco Sounder
OCEANS 2016 - Monterey : MTS/IEEE international conference, Sep 2016, Monterey, United States. pp.1 - 4, ⟨10.1109/OCEANS.2016.7761020⟩

hal-01155719v1 Poster
Laurent Picard, Alexandre Baussard, Gilles Le Chenadec, Isabelle Quidu. Potential of the intrinsic dimensionality for characterizing the seabed in the ATR context
OCEANS'15/MTS/IEEE, May 2015, Genova, Italy. 2015

hal-01466835v1 Communication dans un congrès
Laurent Picard, Alexandre Baussard, Gilles Le Chenadec, Isabelle Quidu. Seafloor characterization for ATR applications using the monogenic signal and the intrinsic dimensionality
OCEANS 2016 MTS/IEEE Monterey, Sep 2016, Monterey, United States. ⟨10.1109/OCEANS.2016.7761372⟩

hal-01465918v1 Communication dans un congrès
Laurent Picard, Alexandre Baussard, Gilles Le Chenadec, Isabelle Quidu. Detection of MLO in sand ripple seafloor using the monogenic signal and intrinsic dimensionality
Oceans16 MTS IEEE, Sep 2016, Monterey, United States. ⟨10.1109/OCEANS.2016.7761121⟩

hal-01090594v1 Communication dans un congrès
Ahmed Nait-Chabane, Benoit Zerr, Gilles Le Chenadec. DYNAMIC SELF-ORGANIZING ALGORITHM FOR UNSUPERVISED SEGMENTATION OF SIDESCAN SONAR IMAGES
UA 2014, Jul 2014, Corfu, Greece

hal-01171474v1 Communication dans un congrès
N.-E. Lasmar, A. Baussard, Gilles Le Chenadec. SEAFLOOR CLASSIFICATION USING STATISTICAL MODELING OF WAVELET SUBBANDS
UA 2014, Jun 2014, Rhodes, Greece

hal-00728978v1 Communication dans un congrès
Ahmed Nait-Chabane, Benoit Zerr, Gilles Le Chenadec. Range-independent segmentation of sidescan sonar images with unsupervised SOFM algorithm (self-organizing feature maps).
ECUA 2012, Jul 2012, Edimburgh, United Kingdom

hal-01090055v1 Article dans une revue
Nour-Eddine Lasmar, Alexandre Baussard, Gilles Le Chenadec. Asymmetric power distribution model of wavelet subbands for texture classification
Pattern Recognition Letters, Elsevier, 2015, 52, pp.1-5. ⟨10.1016/j.patrec.2014.08.004⟩

hal-00913657v1 Communication dans un congrès
Ahmed Nait-Chabane, Benoît Zerr, Gilles Le Chenadec. Sidescan sonar imagery segmentation with a combination of texture and spectral analysis
OCEANS'13, Jun 2013, France. pp.1-6, ⟨10.1109/OCEANS-Bergen.2013.6608096⟩

hal-01834188v1 Article dans une revue
Laurent Picard, Alexandre Baussard, Isabelle Quidu, Gilles Le Chenadec. Seafloor Description in Sonar Images Using the Monogenic Signal and the Intrinsic Dimensionality
IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2018, 56 (9), pp. 5572 - 5587. ⟨10.1109/TGRS.2018.2821189⟩

hal-02171560v1 Communication dans un congrès
Yoann Sola, Gilles Le Chenadec, Karl Sammut, Benoit Clement. Auto-tuning PID controller based on machine learning algorithms for robust control of autonomous underwater vehicles
IEEE Oceans 2019, Jun 2019, Marseille, France

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