Position match quality method for rejecting false targets in an IR target recognition system

John R. Broussard; David L. Arp

doi:10.1117/12.280795

28 July 1997 Position match quality method for rejecting false targets in an IR target recognition system

John R. Broussard, David L. Arp

Proceedings Volume 3068, Signal Processing, Sensor Fusion, and Target Recognition VI; (1997) https://doi.org/10.1117/12.280795
Event: AeroSense '97, 1997, Orlando, FL, United States

Abstract

An imaging infrared (IR) autonomous target recognition system uses a prebrief geoposition location and IR image data to locate and track targets. On some occasions, the image processing target recognition algorithm identifies a non-target object as the desired prebriefed target. This paper derives a position match quality (PMQ) algorithm which monitors the convergence of the IR Kalman filter target estimation system and attempts to decide when the IR target being attacked should be rejected as a false target. Imaging guidance simulation results of the PMQ algorithm for Type I and Type II errors are shown.

Citation Download Citation

John R. Broussard and David L. Arp "Position match quality method for rejecting false targets in an IR target recognition system", Proc. SPIE 3068, Signal Processing, Sensor Fusion, and Target Recognition VI, (28 July 1997); https://doi.org/10.1117/12.280795

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