False-alarm characterization in hyperspectral gas-detection applications

Robert S. DiPietro; Eric Truslow; Dimitris G. Manolakis; Steven E. Golowich; Ronald B. Lockwood

doi:10.1117/12.929037

25 October 2012 False-alarm characterization in hyperspectral gas-detection applications

Robert S. DiPietro, Eric Truslow, Dimitris G. Manolakis, Steven E. Golowich, Ronald B. Lockwood

Proceedings Volume 8515, Imaging Spectrometry XVII; 85150I (2012) https://doi.org/10.1117/12.929037
Event: SPIE Optical Engineering + Applications, 2012, San Diego, California, United States

Abstract

Chemical cloud detection using long-wave infrared (LWIR) hyperspectral-imaging sensors has many civilian and military applications, including chemical warfare threat mitigation, environmental monitoring, and emergency response. Current capabilities are limited by variation in background clutter as opposed to the physics of photon detection, and this makes the statistical characterization of clutter and clutter-induced false alarms essential to the design of practical systems. In this exploratory work, we use hyperspectral data collected both on the ground and in the air to spectrally and spatially characterize false alarms. Focusing on two widely-used detectors, the matched filter (MF) and the adaptive cosine estimator (ACE), we compare empirical false-alarm rates to their theoretical counterparts - detector output under Gaussian, t and t-mixture distributed data - and show that these models often underestimate false-alarm rates. Next, we threshold real detection maps and show that true detections and false alarms often exhibit very different spatial behavior. To exploit this difference and understand how spatial processing affects performance, the spatial behavior of false alarms must be understood. We take a first step in this direction by showing that, although the behavior may `look' quite random, it is not well captured by the complete-spatial-randomness model. Finally, we describe how our findings impact the design of real detection systems.

Citation Download Citation

Robert S. DiPietro, Eric Truslow, Dimitris G. Manolakis, Steven E. Golowich, and Ronald B. Lockwood "False-alarm characterization in hyperspectral gas-detection applications", Proc. SPIE 8515, Imaging Spectrometry XVII, 85150I (25 October 2012); https://doi.org/10.1117/12.929037

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