IMIS - Marine Research Groups | Compendium Coast and Sea

IMIS - Marine Research Groups

[ report an error in this record ]basket (0): add | show Print this page

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://dx.doi.org/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., more
In: Oceans (New York). IEEE: New York. ISSN 0197-7385, more
Peer reviewed article  

Available in  Authors 
Document type: Conference paper

Keywords
    Imagery > Acoustic imagery > Sonar imagery
    Marine/Coastal

Authors  Top 

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.

All data in the Integrated Marine Information System (IMIS) is subject to the VLIZ privacy policy Top | Authors