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Proceedings Paper

Spectral tracking of objects in real time
Author(s): Gary J. Bishop; Ainsley Killey; Matthew D. Porter; Adrian S. Blagg
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Paper Abstract

Advanced multispectral, or hyperspectral, camera systems are being used to identify objects of interest on the basis of spectral characteristics. This paper will describe developments in the field of a real time spectral matched filtering. Matched filtering relies on there being a measurable difference between the spectrum of the target and that of background materials such as soil, vegetation, concrete and tarmac. If prior knowledge is available then the target can be found by matching the two spectra numerically. Previous work has identified the most robust and effective matched filtering technique. Software has been written to interface with a pushbroom hyperspectral sensor to enable fast spectrally tracking of objects. False alarms have been reduced by means of additional processing. Example detections of a number of unclassified objects will be presented.

Paper Details

Date Published: 3 October 2008
PDF: 14 pages
Proc. SPIE 7119, Optics and Photonics for Counterterrorism and Crime Fighting IV, 71190D (3 October 2008); doi: 10.1117/12.802202
Show Author Affiliations
Gary J. Bishop, BAE SYSTEMS (United Kingdom)
Ainsley Killey, BAE SYSTEMS (United Kingdom)
Matthew D. Porter, BAE SYSTEMS (United Kingdom)
Adrian S. Blagg, BAE SYSTEMS (United Kingdom)


Published in SPIE Proceedings Vol. 7119:
Optics and Photonics for Counterterrorism and Crime Fighting IV
Gari Owen, Editor(s)

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