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Spatial-temporal detection of electro-optic moving targets

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1 Author(s)
Pohlig, S. ; Lincoln Lab., MIT, Lexington, MA, USA

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.<>

Published in:

Aerospace and Electronic Systems, IEEE Transactions on  (Volume:31 ,  Issue: 2 )