Real-time distortion-tolerant composite filters for automatic target identification

Daniel J. Sullivan; Arthur V. Forman Jr.; Arthur W. Chang

doi:10.1117/12.138326

1 July 1992 Real-time distortion-tolerant composite filters for automatic target identification

Daniel J. Sullivan, Arthur V. Forman Jr., Arthur W. Chang

Proceedings Volume 1701, Optical Pattern Recognition III; (1992) https://doi.org/10.1117/12.138326
Event: Aerospace Sensing, 1992, Orlando, FL, United States

Abstract

This paper describes work being performed at Martin Marietta to synthesize and implement robust, distortion-tolerant composite filters to perform automatic target recognition (ATR). Two main topics will be discussed. The first part of the paper outlines two filter design methods for trading between distortion tolerance and false alarm rate. In the second part, we will explain the real-time digital implementation of a multiclass ATR system using composite filters in Martin Marietta's massively parallel computer, the Geometric Arithmetic Parallel Processor (GAPP^TM).

Citation Download Citation

Daniel J. Sullivan, Arthur V. Forman Jr., and Arthur W. Chang "Real-time distortion-tolerant composite filters for automatic target identification", Proc. SPIE 1701, Optical Pattern Recognition III, (1 July 1992); https://doi.org/10.1117/12.138326

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