A Bayesian approach to estimating detection performance in a multi-sensor environment

PDF

Authors
  1. Horn, S.A.
  2. Zegersm A,
  3. Mason, D.W.
  4. Emond, E.J.
Corporate Authors
Defence Research and Development Canada, Centre for Operational Research and Analysis, Ottawa ON (CAN)
Abstract
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.

Il y a un résumé en français ici.

Keywords
maritime domain awareness;surveillance;bayesian statistics;multi-sensor
Report Number
DRDC-RDDC-2014-R56 — Scientific Report
Date of publication
01 Sep 2014
Number of Pages
58
DSTKIM No
CA039720
CANDIS No
800608
Format(s):
Electronic Document(PDF)

Permanent link

Document 1 of 1

Date modified: