A maximum likelihood algorithm to detect moving targets in space-time electro-optic data is derived using a model of temporally stationary and spatially nonstationary clutter statistics. Performance is evaluated in term of the probabilities of false alarm and detection. This algorithm is applied to a variety of image sequences: visible band and infrared (IR) sensors, with terrestrial and celestial clutter backgrounds. Comparison of theoretically predicted and experimentally derived statistics shows excellent agreement, validating the model and theoretical predictions.<>
Spatial-temporal detection of electro-optic moving targets
IEEE Transactions on Aerospace and Electronic Systems ; 31 , 2 ; 608-616
01.04.1995
1306275 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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