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Proceedings Paper

Neural network point detection using a coning scan imager
Author(s): Emily D. Claussen; Kim T. Constantikes
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Paper Abstract

A very compact and inertially pointed imaging device can be constructed by combining the functions of a telescope and a gyroscope into a single assembly. However, the image resulting from this device is not easily processed owing to scan-induced geometric distortions. We have devised a method for adaptively processing the imager outputs to facilitate detection of bright points in a cluttered background. Pseudo-image neighborhoods are vectorized and have scan angle bits appended, allowing a neural net to learn the best matched filter for each scan configuration. We present the results of testing this filter using both synthetic and measured solar sea glint clutter.

Paper Details

Date Published: 31 May 1996
PDF: 11 pages
Proc. SPIE 2759, Signal and Data Processing of Small Targets 1996, (31 May 1996); doi: 10.1117/12.241180
Show Author Affiliations
Emily D. Claussen, Johns Hopkins Univ. (United States)
Kim T. Constantikes, Johns Hopkins Univ. (United States)

Published in SPIE Proceedings Vol. 2759:
Signal and Data Processing of Small Targets 1996
Oliver E. Drummond, Editor(s)

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