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Proceedings Paper

Performance comparison of two digital scene-matching processes: algorithmic and artificial neural-network-based
Author(s): Demetrios Sapounas; Robert L. McClintock; Robert LaFollette
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Paper Abstract

Many airborne survey and reconnaissance systems require very precise location or position fix information in order to correlate mineral, agricultural, oil exploration, or highway construction survey data with fixed geodetic information in a geographic information database. This paper describes work in progress that: (1) compares the correlation performance of an existing scene matching system with that of an artificial neural network based system; (2) determines the performance on scaled, rotated images; and (3) compensates for temporal variations in image gray scale and noise levels. The goal of this research effort is to demonstrate with artificial neural networks performance improvements in robustness, flexibility of use, and speed compared to the current digital correlation system.

Paper Details

Date Published: 1 July 1992
PDF: 8 pages
Proc. SPIE 1702, Hybrid Image and Signal Processing III, (1 July 1992); doi: 10.1117/12.60569
Show Author Affiliations
Demetrios Sapounas, Naval Surface Warfare Ctr. (United States)
Robert L. McClintock, Naval Surface Warfare Ctr. (United States)
Robert LaFollette, Naval Surface Warfare Ctr. (United States)

Published in SPIE Proceedings Vol. 1702:
Hybrid Image and Signal Processing III
David P. Casasent; Andrew G. Tescher, Editor(s)

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