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Proceedings Paper

Generalized likelihood ratio test approach to multiframe infrared detection of moving objects
Author(s): A. Baldacci; Giovanni Corsini; Marco Diani; Andrea Cini
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Paper Abstract

This paper investigates the problem of detecting airborne targets in a sequence of images recorded by a long range InfraRed (IR) sensor. The target appears in the IR images as a small, weak signal embedded in a strong background clutter. It is assumed that the target’s amplitude, velocity and position are unknown parameters. To accommodate the unknown parameters the Generalized Likelihood Ratio Test (GLRT) detector is derived. The detector structure and its actual implementation are discussed in detail. To test the detection algorithm an experiment involving a cooperating aircraft has been performed. The preliminary results obtained on this set of experimental data are presented and discussed.

Paper Details

Date Published: 19 January 2001
PDF: 10 pages
Proc. SPIE 4170, Image and Signal Processing for Remote Sensing VI, (19 January 2001); doi: 10.1117/12.413909
Show Author Affiliations
A. Baldacci, Univ. di Pisa (Italy)
Giovanni Corsini, Univ. di Pisa (Italy)
Marco Diani, Univ. di Pisa (Italy)
Andrea Cini, Istituto Mariteleradar (Italy)


Published in SPIE Proceedings Vol. 4170:
Image and Signal Processing for Remote Sensing VI
Sebastiano Bruno Serpico, Editor(s)

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