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3D Reflectivity Reconstruction by Means of Spatially Distributed Kalman Filters

Schwarzenberg, Gregor F.; Mayer, Uwe; Ruiter, Nicole V.; Hanebeck, Uwe D.

Abstract:
In seismic, radar, and sonar imaging the exact determination of the reflectivity distribution is usually intractable so that approximations have to be applied. A method called synthetic aperture focusing technique (SAFT) is typically used for such applications as it provides a fast and simple method to reconstruct (3D) images. Nevertheless, this approach has several drawbacks such as causing image artifacts as well as offering no possibility to model system-specific uncertainties. In this paper, a statistical approach is derived, which models the region of interest as a probability density function (PDF) representing spatial reflectivity occurrences. To process the nonlinear measurements, the exact PDF is approximated by well-placed Extended Kalman Filters allowing for efficient and robust data processing. The performance of the proposed method is demonstrated for a 3D ultrasound computer tomograph and comparisons are carried out with the SAFT image reconstruction.

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Volltext §
DOI: 10.5445/IR/1000034853
Originalveröffentlichung
DOI: 10.1109/MFI.2008.4648096
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Anthropomatik (IFA)
Institut für Prozessdatenverarbeitung und Elektronik (IPE)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2008
Sprache Englisch
Identifikator ISBN: 978-1-4244-2143-5
urn:nbn:de:swb:90-348533
KITopen-ID: 1000034853
HGF-Programm 43.01.06 (POF I, LK 01)
Applikations-u.Transferlaboratorien
Erschienen in Proceedings of the 2008 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2008),Seoul, Republic of Korea, August, 2008
Verlag IEEE, Piscataway
Seiten 384-391
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