Zur Hauptnavigation wechseln Zur Suche wechseln Zum Hauptinhalt wechseln

Target classification from HR sonar images

  • Belgian Navy

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

3 Zitate (Scopus)

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.

OriginalspracheEnglisch
TitelOCEANS 2013 MTS/IEEE Bergen
UntertitelThe Challenges of the Northern Dimension
DOIs
PublikationsstatusVeröffentlicht - 2013
VeranstaltungOCEANS 2013 MTS/IEEE Bergen: The Challenges of the Northern Dimension - Bergen, Norwegen
Dauer: 10 Juni 201313 Juni 2013

Publikationsreihe

NameOCEANS 2013 MTS/IEEE Bergen: The Challenges of the Northern Dimension

Konferenz

KonferenzOCEANS 2013 MTS/IEEE Bergen: The Challenges of the Northern Dimension
Land/GebietNorwegen
OrtBergen
Zeitraum10/06/1313/06/13

Fingerprint

Untersuchen Sie die Forschungsthemen von „Target classification from HR sonar images“. Zusammen bilden sie einen einzigartigen Fingerprint.

Dieses zitieren