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Proceedings Paper

Compression-designs of SAR imagery used as prior knowledge
Author(s): Erlan H. Feria
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Paper Abstract

The signal to interference plus noise ratio (SINR) performance of SAR imagery knowledge-aided (KA) airborne moving target indicator (AMTI) radar subjected to severely taxing environmental disturbances is investigated for radar-blind and radar-seeing highly compressed SAR imagery. Radar-seeing schemes are found to greatly outperform radar-blind techniques.

Paper Details

Date Published: 19 May 2006
PDF: 14 pages
Proc. SPIE 6229, Intelligent Computing: Theory and Applications IV, 62290J (19 May 2006); doi: 10.1117/12.666403
Show Author Affiliations
Erlan H. Feria, College of Staten Island/CUNY (United States)

Published in SPIE Proceedings Vol. 6229:
Intelligent Computing: Theory and Applications IV
Kevin L. Priddy; Emre Ertin, Editor(s)

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