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Proceedings Paper

System-level evaluation of ladar ATR using correlation filters
Author(s): Melissa Tay Perona; Abhijit Mahalanobis; Karen Norris-Zachery
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Paper 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.

Paper Details

Date Published: 17 August 2000
PDF: 7 pages
Proc. SPIE 4050, Automatic Target Recognition X, (17 August 2000); doi: 10.1117/12.395574
Show Author Affiliations
Melissa Tay Perona, Raytheon Systems Co. (United States)
Abhijit Mahalanobis, Raytheon Systems Co. (United States)
Karen Norris-Zachery, Air Force Research Lab. (United States)


Published in SPIE Proceedings Vol. 4050:
Automatic Target Recognition X
Firooz A. Sadjadi, Editor(s)

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