Paper
5 November 1996 Cross-entropy regularization and complex-valued image analysis applicable to ISAR
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Abstract
The problem of image analysis when the image is complex- valued is becoming increasingly important in problems where the complex nature of the scattering mechanism cannot be ignored. Such problems include automatic target recognition and cross-section reduction. Traditional approaches have sought to apply standard methods in intensity-based imaging to these problems by discarding the inherent phase content. Other methods have been developed but are often ad hoc and insufficiently motivated. We will examine this problem and some of the recent approaches suggested for its solution.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Brett H. Borden "Cross-entropy regularization and complex-valued image analysis applicable to ISAR", Proc. SPIE 2845, Radar Processing, Technology, and Applications, (5 November 1996); https://doi.org/10.1117/12.257221
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Error analysis

Image analysis

Data modeling

Reconstruction algorithms

Algorithm development

Image restoration

Inverse problems

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