Adaptive fusion architecture for context aware detection and classification

J. Bell, Y. Petillot, K. Lebart, P. Y. Mignotte, E. Coiras, H. Rohou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper presents a framework for the fusion of detection and classification algorithms for side-scan imagery. The framework is based on Dempster-Shafer Theory of Evidence, which permits the fusion of heterogeneous outputs of targets detectors and classifiers. The paper will illustrate how the technique permits the incorporation of contextual information into the decision process, giving more importance to the outputs of those algorithms that perform better in particular mission conditions. © 2007 IEEE.

Original languageEnglish
Title of host publicationOCEANS 2007 - Europe
Publication statusPublished - 2007
EventOCEANS 2007 - Europe - Aberdeen, Scotland, United Kingdom
Duration: 18 Jun 200721 Jun 2007

Conference

ConferenceOCEANS 2007 - Europe
CountryUnited Kingdom
CityAberdeen, Scotland
Period18/06/0721/06/07

Keywords

  • Classification
  • Detection
  • Fusion
  • Sonar

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    Bell, J., Petillot, Y., Lebart, K., Mignotte, P. Y., Coiras, E., & Rohou, H. (2007). Adaptive fusion architecture for context aware detection and classification. In OCEANS 2007 - Europe