On classification of multispectral infrared image data

A detector is proposed that is based on a model in which the signal components consist of radiant thermal energy from either the small target or the intense, highly structured background. The resulting statistic is effective in enhancing the target and suppressing cluttered background. Estimation of...

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Veröffentlicht in:	IEEE transactions on image processing 1997-10, Vol.6 (10), p.1456-1460
Hauptverfasser:	Cheung, J., Ferris, D., Kurz, L.
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Exact sciences and technology Image processing Information, signal and communications theory Infrared detectors Infrared image sensors Infrared imaging Optical imaging Remote monitoring Sensor phenomena and characterization Signal processing Spatial resolution Statistics Stochastic systems Telecommunications and information theory Temperature sensors
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Beschreibung
Zusammenfassung:	A detector is proposed that is based on a model in which the signal components consist of radiant thermal energy from either the small target or the intense, highly structured background. The resulting statistic is effective in enhancing the target and suppressing cluttered background. Estimation of the system parameters based on stochastic approximation techniques is presented. Simulation results demonstrate the practicality of the proposed detector.
ISSN:	1057-7149 1941-0042
DOI:	10.1109/83.624975