A unified approach for database analysis and application to ATR performance metrics

R. Barry Johnson; Kaveh Heidary

doi:10.1117/12.849942

12 May 2010 A unified approach for database analysis and application to ATR performance metrics

R. Barry Johnson, Kaveh Heidary

Proceedings Volume 7696, Automatic Target Recognition XX; Acquisition, Tracking, Pointing, and Laser Systems Technologies XXIV; and Optical Pattern Recognition XXI; 76960Z (2010) https://doi.org/10.1117/12.849942
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

Abstract

An essential component within most approaches used to evaluate ATR algorithm performance is an image database from which are chosen a training set of images. Several fundamental questions arise regarding the adequacy of the database to represent the desired domain of effectiveness, the sufficiency of the training set, potentiality of enhancing the constituents of the training set, suitability to determine signal-to-clutter performance, and realism of fairly comparing performance of ATR algorithms to one another. These questions have been addressed through an investigation into a unified approach for database analysis and how it can be applied to evaluating ATR performance metrics.

Citation Download Citation

R. Barry Johnson and Kaveh Heidary "A unified approach for database analysis and application to ATR performance metrics", Proc. SPIE 7696, Automatic Target Recognition XX; Acquisition, Tracking, Pointing, and Laser Systems Technologies XXIV; and Optical Pattern Recognition XXI, 76960Z (12 May 2010); https://doi.org/10.1117/12.849942

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