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Proceedings Paper

Techniques for appraising radar images formed from complex-valued measurements
Author(s): Brett H. Borden
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Paper Abstract

Traditional methods in image processing have not enjoyed an easy transition to radar data because most of these techniques are phase insensitive and generalizations have often not led to unique results. The desire to develop image reconstruction algorithms which are not `phase blind' has well-recognized resolution and superresolution consequences since these algorithms are typically based upon complex Fourier techniques. In addition, standard radar imaging methods have employed a linear `weak scatterer' target model to make a simple connection between target and scattered field--a model that is not always appropriate and which can cause deleterious image artifacts. Clearly, the accuracy of follow-on model appraisal requires more than simple `resolution' analysis. Recently, several important ideas have been developed which help to bridge the gap between algorithmic image resolution `enhancement' processing and usual radar image appraisal methods. We present a coordinated overview of some of the more promising of the techniques, including nonlinear Backus-Gilbert restoration and complex target modeling.

Paper Details

Date Published: 29 September 1999
PDF: 9 pages
Proc. SPIE 3810, Radar Processing, Technology, and Applications IV, (29 September 1999); doi: 10.1117/12.364067
Show Author Affiliations
Brett H. Borden, Naval Air Warfare Ctr. (United States)


Published in SPIE Proceedings Vol. 3810:
Radar Processing, Technology, and Applications IV
William J. Miceli, Editor(s)

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