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Proceedings Paper

Line Enhancement Algorithm For Synthetic Aperture Radar Imagery
Author(s): Jorge V. Geaga; Kenneth S. Davis
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Paper Abstract

This paper describes a new gradient algorithm for enhancing linear features in synthetic aperture radar imagery. The algorithm is based on finding the maximum average gradient over a local window centered on a pixel. The algorithm also outputs the local direction of linear features. The algorithm attempts to compensate for decorrelation resulting from the speckle in radar imagery by considering larger pixel neighborhoods or processing windows.

Paper Details

Date Published: 14 August 1989
PDF: 10 pages
Proc. SPIE 1101, Millimeter Wave and Synthetic Aperture Radar, (14 August 1989); doi: 10.1117/12.960521
Show Author Affiliations
Jorge V. Geaga, Northrop Research and Technology Center (United States)
Kenneth S. Davis, Northrop Research and Technology Center (United States)

Published in SPIE Proceedings Vol. 1101:
Millimeter Wave and Synthetic Aperture Radar
G. Keith Huddleston; Martin E. Tanenhaus; Brian P. Williams, Editor(s)

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