A framework is proposed for the selection of wavelength bands for multispectral sensors by use of hyperspectral reference data. Using the results from the detection theory we derive a cost function that is minimized by a set of spectral bands optimal in terms of detection performance for discrimination between a class of small rare targets and clutter with known spectral distribution. The method may be used, e.g., in the design of multispectral infrared search and track and electro-optical missile warning sensors, where a low false-alarm rate and a high-detection probability for detection of small targets against a clutter background are of critical importance, but the required high frame rate prevents the use of hyperspectral sensors.
© 2002 Optical Society of America
(040.3060) Detectors : Infrared
(070.4790) Fourier optics and signal processing : Spectrum analysis
(070.5010) Fourier optics and signal processing : Pattern recognition
(150.5670) Machine vision : Range finding
Jörgen Karlholm and Ingmar Renhorn, "Wavelength Band Selection Method for Multispectral Target Detection," Appl. Opt. 41, 6786-6795 (2002)