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Proceedings Paper

Three Generations Of Image Understanding Architecture: Studies In Automatic Target Recognition System Design
Author(s): William W. Wehner; Paul S. Schenker
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Paper Abstract

The increasingly broad scope of intended image understanding (IU) applications is driving IU architectures toward general purpose designs. This is reflected in growth of first generation domain-and-function specific processors to new multi-function/multi-scenario designs. These advances have been enabled by novel algorithm developments, expansion to multi-sensor capability, advances in VLSI/VHSIC circuit technologies, and development of supporting software design methodology. Our paper presents a perspective on on-going and anticipated developments in military image understanding system architectures. We briefly discuss the types of missions and applications motivating system developments. We overview resulting system requirements and classes of supporting algorithms. We discuss resulting processor requirements and show by case study how we are addressing them in our past and present IU system designs. The trend we establish . is development from early applications-specific hardwired processors to future generation modular, reconfigurable, high-level programmable VLSI system architectures.

Paper Details

Date Published: 17 January 1985
PDF: 10 pages
Proc. SPIE 0521, Intelligent Robots and Computer Vision, (17 January 1985); doi: 10.1117/12.946174
Show Author Affiliations
William W. Wehner, Honeywell Inc. (United States)
Paul S. Schenker, Honeywell Inc. (United States)

Published in SPIE Proceedings Vol. 0521:
Intelligent Robots and Computer Vision
David P. Casasent; Ernest L. Hall, Editor(s)

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