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Proceedings Paper

Are higher performance image processors like GAPP really needed?
Author(s): Eugene L. Cloud; Herbert A. Duvoisin; Robert D. Jackson; Mark S. Tomassi
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Paper Abstract

We are building automatic target recognizer (ATR) systems. These systems are being applied to many different target detection scenarios. Our work has been in the military application field, but the problems are the same for most commercial applications as well. The measures of performance are the same. How well can a human perform the same target detection task? What is the probability of detecting (Pd) the target versus the false alarm rate (FAR)? The community has evolved comparative performance techniques that present the merits of alternative system approaches. In this paper, we present the results of a comparative study of alternative algorithms for detecting and classifying buried and surface land mines from an airborne platform in infrared imagery. The results show that for low signal-to-clutter ratios, more complex algorithms produce higher Pd for a given FAR. More complex algorithms signify the need for a high performance, high throughput processor to meet typical time lines. An update on the geometric arithmetic parallel processor (GAPPTM) high performance/throughput machine is therefore provided.

Paper Details

Date Published: 31 January 1995
PDF: 7 pages
Proc. SPIE 2368, 23rd AIPR Workshop: Image and Information Systems: Applications and Opportunities, (31 January 1995); doi: 10.1117/12.200799
Show Author Affiliations
Eugene L. Cloud, Martin Marietta Technologies, Inc. (United States)
Herbert A. Duvoisin, Martin Marietta Technologies, Inc. (United States)
Robert D. Jackson, Martin Marietta Technologies, Inc. (United States)
Mark S. Tomassi, Martin Marietta Technologies, Inc. (United States)


Published in SPIE Proceedings Vol. 2368:
23rd AIPR Workshop: Image and Information Systems: Applications and Opportunities
Peter J. Costianes, Editor(s)

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