A target detection model predicting field observer performance in maritime scenes

Joanne B. Culpepper; Vivienne C. Wheaton

doi:10.1117/12.2066264

7 October 2014 A target detection model predicting field observer performance in maritime scenes

Joanne B. Culpepper, Vivienne C. Wheaton

Proceedings Volume 9249, Electro-Optical and Infrared Systems: Technology and Applications XI; 92490C (2014) https://doi.org/10.1117/12.2066264
Event: SPIE Security + Defence, 2014, Amsterdam, Netherlands

Abstract

The U.S. Army’s target acquisition models, the ACQUIRE and Target Task Performance (TTP) models, have been employed for many years to assess the performance of thermal infrared sensors. In recent years, ACQUIRE and the TTP models have been adapted to assess the performance of visible sensors. These adaptations have been primarily focused on the performance of an observer viewing a display device. This paper describes an implementation of the TTP model to predict field observer performance in maritime scenes. Predictions of the TTP model implementation were compared to observations of a small watercraft taken in a field trial. In this field trial 11 Australian Navy observers viewed a small watercraft in an open ocean scene. Comparisons of the observed probability of detection to predictions of the TTP model implementation showed the normalised RSS metric overestimated the probability of detection. The normalised Pixel Contrast using a literature value for V50 yielded a correlation of 0.58 between the predicted and observed probability of detection. With a measured value of N50 or V50 for the small watercraft used in this investigation, this implementation of the TTP model may yield stronger correlation with observed probability of detection.

Citation Download Citation

Joanne B. Culpepper and Vivienne C. Wheaton "A target detection model predicting field observer performance in maritime scenes", Proc. SPIE 9249, Electro-Optical and Infrared Systems: Technology and Applications XI, 92490C (7 October 2014); https://doi.org/10.1117/12.2066264

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