Accéder directement au contenu Accéder directement à la navigation
Poster

Potential of the intrinsic dimensionality for characterizing the seabed in the ATR context

Laurent Picard 1, 2 Alexandre Baussard 1, 3 Gilles Le Chenadec 4, 2 Isabelle Quidu 5, 2
1 Lab-STICC_ENSTAB_CID_TOMS ; REMS
STIC - Pôle STIC [Brest], Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
2 Lab-STICC_ENSTAB_CID_PRASYS
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
3 Lab-STICC_ENSTAB_CID_TOMS
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
4 Lab-STICC_ENSTAB_CID_SFIIS ; OSM
STIC - Pôle STIC [Brest], Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
5 Lab-STICC_ENSTAB_CID_SFIIS ; OSM
STIC - Pôle STIC [Brest]
Abstract : Abstract—Up to now in mine warfare context, most of Automatic Target Recognition (ATR) processes suffer from environmental effects and therefore try to erase them by image filtering or thresholding before performing shadow and/or echo extraction of the target. In order to design potentially more effective methods, environmental characterization can be investigated. The idea is to incorporate environmental features in the ATR process or to design it according to environmental characteristics such as seafloor homogeneity or complexity. In this way, this paper study the ability to decompose sidescan sonar images through geometrical structures using the concept of intrinsic dimensionality (iD) and scale-space representations
Liste complète des métadonnées

https://hal.archives-ouvertes.fr/hal-01155719
Contributeur : Annick Billon-Coat <>
Soumis le : mercredi 27 mai 2015 - 12:03:19
Dernière modification le : mercredi 24 juin 2020 - 16:19:56

Identifiants

  • HAL Id : hal-01155719, version 1

Citation

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-01155719⟩

Partager

Métriques

Consultations de la notice

464