Accuracy assessment of detection performance for sidescan sonars |
| |
| Authors: | Paul Nguyen Duncan Murdoch |
| |
| Affiliation: | Department of Statistical and Actuarial Sciences, Western Science Center, University of Western Ontario, London, Ontario N6A 5B7, Canada |
| |
| Abstract: | Sidescan sonars are used in detecting hostile targets on the seabed. An accurate representation of the sensor performance is required to carefully plan and execute searches. We studied several confidence interval methods for assessing the accuracy of detection performance as a function of range from hostile targets. Using simulation, we determined that the best approach for modeling sensor data was piecewise logistic regression with cubic B‐splines at carefully selected knots. This method was demonstrated on real data collected from the CITADEL sea trial. © 2012 Wiley Periodicals, Inc. Naval Research Logistics, 2012 |
| |
| Keywords: | sidescan sonars detection probabilities binning logistic regression cubic splines |
|
|
