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

Jason F. Ralph; Moira I. Smith; Jamie P. Heather

doi:10.1117/12.603320

25 May 2005 Motion-based detection, identification, and tracking for missile warning system applications

Jason F. Ralph, Moira I. Smith, Jamie P. Heather

Proceedings Volume 5809, Signal Processing, Sensor Fusion, and Target Recognition XIV; (2005) https://doi.org/10.1117/12.603320
Event: Defense and Security, 2005, Orlando, Florida, United States

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

Citation Download Citation

Jason F. Ralph, Moira I. Smith, and Jamie P. Heather "Motion-based detection, identification, and tracking for missile warning system applications", Proc. SPIE 5809, Signal Processing, Sensor Fusion, and Target Recognition XIV, (25 May 2005); https://doi.org/10.1117/12.603320

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