Jan Kirchhof — accepted AI-conference papers

2020

Cramér-Rao Bounds for Flaw Localization in Subsampled Multistatic Multichannel Ultrasound Ndt Data

Eduardo Pérez, Jan Kirchhof, Sebastian Semper, Fabian Krieg, Florian Römer

ICASSP 2020accepted

The localization of defects is a prevalent task in ultrasound nondestructive testing. Multi-channel techniques like Full Matrix Capture (FMC) measurements are employed in this regard for their better spatial accuracy compared to single-channel synthetic aperture measurements at the expense of larger…

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2017

Sparse Signal Recovery for ultrasonic detection and reconstruction of shadowed flaws

Jan Kirchhof, Fabian Krieg, Florian Roemer, Alexander Ihlow, Ahmad Osman, Giovanni Del Galdo

ICASSP 2017accepted

In this paper we propose a method to improve the detection of shadowed flaws in ultrasonic non-destructive testing (NDT). The B-scans are expressed in the context of Sparse Signal Recovery (SSR), where the shadowing effect is incorporated during the reconstruction: Whenever a new defect is found, it…

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