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Proceedings Paper

Numerical considerations when imaging penetrable highly scattering objects from incomplete data
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Paper Abstract

Over the last ten years progress has been made in developing inverse scattering algorithms that go beyond the range of applicability of the first Born and Rytov approximations. Our efforts have focused on a nonlinear filtering technique which appears at first glance to be straightforward to implement and offer the possibility of recovering strongly scattering structures. Upon applying the method to various simulated and real data sets, its performance has been inconsistent. In this paper we discuss the various numerical concerns that have arisen from executing a nonlinear filter on limited sampled noisy data and clarify the potential advantages and limitations of this approach.

Paper Details

Date Published: 16 November 2000
PDF: 10 pages
Proc. SPIE 4123, Image Reconstruction from Incomplete Data, (16 November 2000); doi: 10.1117/12.409271
Show Author Affiliations
Andres E. Morales-Porras, Univ. of Massachusetts/Lowell (United States)
Markus E. Testorf, Univ. of Massachusetts/Lowell (United States)
Robert V. McGahan, Air Force Research Lab. (United States)
Michael A. Fiddy, Univ. of Massachusetts/Lowell (United States)


Published in SPIE Proceedings Vol. 4123:
Image Reconstruction from Incomplete Data
Michael A. Fiddy; Rick P. Millane, Editor(s)

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