000 01833nam  2200277za 4500
0019.807303
003CaOODSP
00520240219183353
007cr |||||||||||
008150723s2014    oncd    ob   f000 0 eng d
040 |aCaOODSP|beng
041 |aeng|bfre
043 |an-cn---
0861 |aD68-2/56-2014E-PDF
24502|aA Bayesian approach to estimating detection performance in a multi-sensor environment |h[electronic resource] / |cSteven A. Horn … [et al.].
260 |a[Ottawa] : |bDefence Research and Development Canada, |c2014.
300 |avi, 46, [2] p. : |bfig., graphs.
4901 |aScientific report ; |v2014-R56
500 |aSeptember 2014.
504 |aIncludes bibliographical references (p. 29-30).
520 |aThis 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.
69207|2gccst|aMilitary technology
7001 |aHorn, Steven A.
7102 |aDefence R&D Canada.
830#0|aScientific report (Defence R&D Canada)|v2014-R56|w(CaOODSP)9.802305
85640|qPDF|s919 KB|uhttps://publications.gc.ca/collections/collection_2015/rddc-drdc/D68-2-56-2014-eng.pdf