Techniques for appraising radar images formed from complex-valued measurements

Brett H. Borden

doi:10.1117/12.364067

29 September 1999 Techniques for appraising radar images formed from complex-valued measurements

Brett H. Borden

Proceedings Volume 3810, Radar Processing, Technology, and Applications IV; (1999) https://doi.org/10.1117/12.364067
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1999, Denver, CO, United States

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.

Citation Download Citation

Brett H. Borden "Techniques for appraising radar images formed from complex-valued measurements", Proc. SPIE 3810, Radar Processing, Technology, and Applications IV, (29 September 1999); https://doi.org/10.1117/12.364067

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KEYWORDS

Radar

Scattering

Strontium

Image processing

Image resolution

Algorithm development

Data modeling

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