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Proceedings Paper

Parallel algorithms for automatic target recognition using laser radar imagery
Author(s): Arthur V. Forman; Daniel J. Sullivan; Arthur W. Chang
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Paper Abstract

This paper describes two techniques for automatic recognition of surface targets from an airborne platform using an imaging laser radar sensor. The first technique rotates a three-dimensional model of the target in real time to enable a generalized Hough transform to match the ladar image to the target''s key discriminating features as a basis for target identification. The second technique uses a variation on minimum average correlation energy filters to perform robust target identification. Examples illustrating the application of these algorithms are presented along with a description of a real-time implementation of the critical parts of the algorithms on a 40 systolic array based on the Geometric Arithmetic Parallel Processor (GAPP) chip.

Paper Details

Date Published: 1 November 1990
PDF: 10 pages
Proc. SPIE 1348, Advanced Signal Processing Algorithms, Architectures, and Implementations, (1 November 1990); doi: 10.1117/12.23503
Show Author Affiliations
Arthur V. Forman, Martin Marietta Corp. (United States)
Daniel J. Sullivan, Martin Marietta Corp. (United States)
Arthur W. Chang, Martin Marietta Corp. (United States)


Published in SPIE Proceedings Vol. 1348:
Advanced Signal Processing Algorithms, Architectures, and Implementations
Franklin T. Luk, Editor(s)

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