Generalized likelihood ratio test approach to multiframe infrared detection of moving objects

A. Baldacci; Giovanni Corsini; Marco Diani; Andrea Cini

doi:10.1117/12.413909

19 January 2001 Generalized likelihood ratio test approach to multiframe infrared detection of moving objects

A. Baldacci, Giovanni Corsini, Marco Diani, Andrea Cini

Proceedings Volume 4170, Image and Signal Processing for Remote Sensing VI; (2001) https://doi.org/10.1117/12.413909
Event: Europto Remote Sensing, 2000, Barcelona, Spain

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.

Citation Download Citation

A. Baldacci, Giovanni Corsini, Marco Diani, and Andrea Cini "Generalized likelihood ratio test approach to multiframe infrared detection of moving objects", Proc. SPIE 4170, Image and Signal Processing for Remote Sensing VI, (19 January 2001); https://doi.org/10.1117/12.413909

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