nieuwe zoekopdracht
[ meld een fout in dit record ]mandje (0): toevoegen | toon Print deze pagina

Target classification from HR sonar images
Lopera, O.; Dupont, Y. (2013). Target classification from HR sonar images, in: IEEE OCEANS 2013 Norway. Proceedings of a meeting held 10-14 June 2013, Bergen, Norway. Oceans (New York), CFP13OCF: pp. 6 pp. https://hdl.handle.net/10.1109/OCEANS-Bergen.2013.6608183
In: IEEE (2013). OCEANS 2013 Norway. Proceedings of a meeting held 10-14 June 2013, Bergen, Norway. Oceans (New York), CFP13OCF. IEEE: New York. ISBN 978-1-479-90002-2. 1646 (2 Vols) pp.
In: Oceans (New York). IEEE: New York. ISSN 0197-7385
Peer reviewed article  

Beschikbaar in  Auteurs 
Documenttype: Congresbijdrage

Trefwoorden
    Imagery > Acoustic imagery > Sonar imagery
    Marien

Auteurs  Top 
  • Lopera, O.
  • Dupont, Y.

Abstract
    This paper presents two integrated techniques for target classification from high-resolution (HR) sonar images. Both recognition procedures start with a despeckling algorithm based on the anisotropic diffusion filter. As a second step, a fuzzymorpho-based segmentation procedure is applied to the filtered images, which partitions the image into highlights and shadow areas. A number of geometrical features are extracted from these areas, and are then used to classify targets using two techniques: (i) a Markov Chain Monte Carlo (MCMC) approach and (ii) a Decision Tree Classifier (DTC) . A comparison of both recognition techniques is drawn, and classification performance is estimated by ROC curves. Very promising results are obtained.

Alle informatie in het Integrated Marine Information System (IMIS) valt onder het VLIZ Privacy beleid Top | Auteurs 
IMIS is ontwikkeld en wordt gehost door het VLIZ, voor meer informatie contacteer .