A Bayesian approach to estimating detection performance in a multi-sensor environment / Steven A. Horn … [et al.]. : D68-2/56-2014E-PDF

This report presents the results of Operational Research support to maritime surveillance operations in the Canadian maritime approaches. The principal development is a Bayesian method to estimate the performance of sensors in a way that can be applied during ongoing operations. This novel method does not require knowledge of the sea-truth to evaluate sensors. A method to estimate sea-truth is also presented, which provides a new and unique analysis capability for the estimation of surveillance gaps. The series of new metrics and methods are implemented in a variety of operational tools for analysis of the recognized maritime picture (RMP), which support new operational procedures and processes. The desired result is a more robust and optimized maritime surveillance capability.

Lien permanent pour cette publication :
publications.gc.ca/pub?id=9.807303&sl=1

Renseignements sur la publication
Ministère/Organisme Canada. Defence R&D Canada.
Titre A Bayesian approach to estimating detection performance in a multi-sensor environment / Steven A. Horn … [et al.].
Titre de la série Scientific report ; 2014-R56
Type de publication Série - Voir l'enregistrement principal
Langue [Anglais]
Format Électronique
Document électronique
Note(s) September 2014.
Includes bibliographical references (p. 29-30).
Information sur la publication [Ottawa] : Defence Research and Development Canada, 2014.
Auteur / Contributeur Horn, Steven A.
Description vi, 46, [2] p. : fig., graphs.
Numéro de catalogue
  • D68-2/56-2014E-PDF
Numéro de catalogue du ministère DRDC-RDDC-2014-R56
Descripteurs Military technology
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