Performance characterization and sensitivity analysis of ATR algorithms to scene distortions

Maqsood A. Mohd

doi:10.1117/12.161450

20 October 1993 Performance characterization and sensitivity analysis of ATR algorithms to scene distortions

Maqsood A. Mohd

Proceedings Volume 1957, Architecture, Hardware, and Forward-Looking Infrared Issues in Automatic Target Recognition; (1993) https://doi.org/10.1117/12.161450
Event: Optical Engineering and Photonics in Aerospace Sensing, 1993, Orlando, FL, United States

Abstract

In pattern recognition systems the basic task is to match scenes obtained by a sensor at different times. Over the years several algorithms were developed for automatic pattern recognition systems for target acquisition. How good are they? Why do they work? Why do they not work under a different environmental condition? These are questions to which we seek answers. In this paper, a methodology is developed to characterize algorithm performance when subjected to scene geometrical distortions to give insight into the questions posed above. The methodology used is a parameter variation techniques where by perturbations in sensor range and roll angle are made and target probability of detection and location determined. In this investigation actual infrared images are used. The sensitivity analysis methodology developed is illustrated with an example. Application of the generic methodology developed can serve as a very useful tool in testing and evaluating automated pattern recognition systems used in industrial, scientific, commercial, medical, civil defense, and national defense applications.

Citation Download Citation

Maqsood A. Mohd "Performance characterization and sensitivity analysis of ATR algorithms to scene distortions", Proc. SPIE 1957, Architecture, Hardware, and Forward-Looking Infrared Issues in Automatic Target Recognition, (20 October 1993); https://doi.org/10.1117/12.161450

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