Parallel algorithms for automatic target recognition using laser radar imagery

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

doi:10.1117/12.23503

1 November 1990 Parallel algorithms for automatic target recognition using laser radar imagery

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

Proceedings Volume 1348, Advanced Signal Processing Algorithms, Architectures, and Implementations; (1990) https://doi.org/10.1117/12.23503
Event: 34th Annual International Technical Symposium on Optical and Optoelectronic Applied Science and Engineering, 1990, San Diego, CA, United States

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.

Citation Download Citation

Arthur V. Forman Jr., Daniel J. Sullivan, and Arthur W. Chang "Parallel algorithms for automatic target recognition using laser radar imagery", Proc. SPIE 1348, Advanced Signal Processing Algorithms, Architectures, and Implementations, (1 November 1990); https://doi.org/10.1117/12.23503

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