Title :
Spatial-temporal detection of electro-optic moving targets
Author_Institution :
Lincoln Lab., MIT, Lexington, MA, USA
fDate :
4/1/1995 12:00:00 AM
Abstract :
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.<>
Keywords :
clutter; infrared detectors; maximum likelihood detection; motion estimation; target tracking; celestial clutter backgrounds; electro-optic moving targets; image sequences; infrared sensors; maximum likelihood algorithm; moving targets; probabilities; space-time electro-optic data; spatial-temporal detection; spatially nonstationary clutter statistics; temporally stationary clutter statistics; terrestrial clutter backgrounds; visible band; Image sequences; Infrared image sensors; Laboratories; Layout; Maximum likelihood detection; Object detection; Pixel; Predictive models; Random variables; Statistics;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
