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.
Generalized Likelihood Ratio Test Approach to Multi-Frame Infra-Red Detection of Moving Objects
CORSINI, GIOVANNI;DIANI, MARCO;
2001-01-01
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
