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19 May 2005 A methodology for estimating lateral range curves for electro-optical visible and infrared imaging systems for maritime search and detection applications
Michael J. DeWeert, Carrie L. Leonard, Carrie L. Stalder, Judy Iokepa, Jonathan Gradie
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Proceedings Volume 5780, Photonics for Port and Harbor Security; (2005) https://doi.org/10.1117/12.604459
Event: Defense and Security, 2005, Orlando, Florida, United States
Abstract
Electro-optical (EO) systems with digital image processing and computer-aided detection are increasingly coming into use for maritime surveillance, reconnaissance and search and rescue. EO systems have the potential to improve the consistency of detection, reduce operator workload and fatigue, and improve search efficiency. However, quantifying their performance versus more traditional approaches is problematic, because of the differences in how performance is specified for traditional systems versus modern computer-aided designs. In maritime search applications, system performance is commonly specified in terms of the lateral range curve (LRC). The LRC is a plot of the probability of detection versus horizontal range from the search platform. This metric has a long history, rooted in visual searches by trained human observers. However, it is specified without reference to any false-alarm rate or probability of false alarm. Computer-aided EO performance, on the other hand, is usually specified in terms of Signal-to-Noise Ratio (SNR), Receiver Operating Characteristic (ROC) curve, or some equivalent metric. In this paper, we demonstrate a methodology for estimating LRCs from SNRs or ROC curves. This methodology provides a consistent, quantifiable means for comparing the performance of new and legacy systems.
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Michael J. DeWeert, Carrie L. Leonard, Carrie L. Stalder, Judy Iokepa, and Jonathan Gradie "A methodology for estimating lateral range curves for electro-optical visible and infrared imaging systems for maritime search and detection applications", Proc. SPIE 5780, Photonics for Port and Harbor Security, (19 May 2005); https://doi.org/10.1117/12.604459
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KEYWORDS
Signal to noise ratio
Computing systems
Target detection
Long wavelength infrared
Data modeling
Systems modeling
Electro optical systems
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