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Proceedings Paper

Motion-based detection, identification, and tracking for missile warning system applications
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Paper Abstract

Infrared cameras can detect the heat signatures of missile plumes in the mid-wave infrared waveband (3-5 microns) and are being developed for use, in conjunction with advanced tracking algorithms, in Missile Warning Systems (MWS). However, infrared imagery is also liable to contain appreciable levels of noise and significant levels of thermal clutter, which can make missile detection and tracking very difficult. This paper discusses the use of motion-based methods for the detection, identification and tracking of missiles: utilising the apparent motion of a missile plume against background clutter. Using a toolbox designed for the evaluation of missile warning algorithms, algorithms have been developed, tested and evaluated using a mixture of real, synthetic and composite infrared imagery

Paper Details

Date Published: 25 May 2005
PDF: 12 pages
Proc. SPIE 5809, Signal Processing, Sensor Fusion, and Target Recognition XIV, (25 May 2005); doi: 10.1117/12.603320
Show Author Affiliations
Jason F. Ralph, The Univ. of Liverpool (United Kingdom)
Moira I. Smith, Waterfall Solutions (United Kingdom)
Jamie P. Heather, Waterfall Solutions (United Kingdom)

Published in SPIE Proceedings Vol. 5809:
Signal Processing, Sensor Fusion, and Target Recognition XIV
Ivan Kadar, Editor(s)

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