3 October 2008 Spectral tracking of objects in real time
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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.
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Gary J. Bishop, Gary J. Bishop, Ainsley Killey, Ainsley Killey, Matthew D. Porter, Matthew D. Porter, Adrian S. Blagg, Adrian S. Blagg, } "Spectral tracking of objects in real time", Proc. SPIE 7119, Optics and Photonics for Counterterrorism and Crime Fighting IV, 71190D (3 October 2008); doi: 10.1117/12.802202; https://doi.org/10.1117/12.802202
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