System-level evaluation of ladar ATR using correlation filters

Melissa Tay Perona; Abhijit Mahalanobis; Karen Norris-Zachery

doi:10.1117/12.395574

17 August 2000 System-level evaluation of ladar ATR using correlation filters

Melissa Tay Perona, Abhijit Mahalanobis, Karen Norris-Zachery

Proceedings Volume 4050, Automatic Target Recognition X; (2000) https://doi.org/10.1117/12.395574
Event: AeroSense 2000, 2000, Orlando, FL, United States

Abstract

This paper describes a conceptual real-time systems approach to LADAR automatic target recognition (ATR). Previous work has demonstrated the viability of utilizing correlation filters derived from synthetic models for detection and recognition of mobile targets in Laser Radar (LADAR) sensor images. The distance correlation classifier filter (DCCF) provides a unique potential for reducing throughput while preserving performance. The application of this concept to a real-time system, however, involves refinement, trade studies, and optimization. Refinements in the correlation filter are discussed and evaluated in terms of performance, throughput, and memory. Preliminary performance results for several mobile targets are presented.

Citation Download Citation

Melissa Tay Perona, Abhijit Mahalanobis, and Karen Norris-Zachery "System-level evaluation of ladar ATR using correlation filters", Proc. SPIE 4050, Automatic Target Recognition X, (17 August 2000); https://doi.org/10.1117/12.395574

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