Accéder directement au contenu Accéder directement à la navigation
Communication dans un congrès

Detection of MLO in sand ripple seafloor using the monogenic signal and intrinsic dimensionality

Laurent Picard 1, 2, 3 Alexandre Baussard 2, 1 Gilles Le Chenadec 4, 5, 3 Isabelle Quidu 4, 5, 3
1 Pôle STIC_REMS
ENSTA Bretagne - École Nationale Supérieure de Techniques Avancées Bretagne
2 Lab-STICC_ENSTAB_CID_TOMS
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
3 Lab-STICC_ENSTAB_CID_PRASYS
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
4 Lab-STICC_ENSTAB_CID_SFIIS
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
5 Pôle STIC_OSM
ENSTA Bretagne - École Nationale Supérieure de Techniques Avancées Bretagne
Abstract : In mine warfare context, performances of automatic target recognition (ATR) processes are known to highly depend on the underwater environment. In this study, we focus on the detection of mine-like-objects (MLO) in sand ripple seafloors. This particular seafloor type degrades detector performance by decreasing the detection probability and increasing the number of false alarms. To tackle this issue, we propose a method based on the monogenic signal and the concept of intrinsic dimensionality to characterize ripple seafloors, and then identifying geometrical anomalies caused by the presence of a MLO. This environmental information about the ripple field is taken into consideration to automatically create a map in which the potential armful object is set clearly visible to facilitate its detection. To validate and assess the performance of the proposed detection algorithm, a study of real synthetic aperture sonar (SAS) images containing various mine-like targets is undertaken.
Liste complète des métadonnées

https://hal-ensta-bretagne.archives-ouvertes.fr/hal-01465918
Contributeur : Annick Billon-Coat <>
Soumis le : lundi 13 février 2017 - 11:23:04
Dernière modification le : mercredi 24 juin 2020 - 16:19:56

Identifiants

Citation

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-01465918⟩

Partager

Métriques

Consultations de la notice

581