A Kirchhoff-based shape reconstruction algorithm for the multimonostatic configuration: The realistic case of buried pipes
IEEE Transactions on Geoscience and Remote Sensing, 2008•ieeexplore.ieee.org
A shape reconstruction algorithm is formulated for the multimonostatic configuration and the
2-D geometry. The imaging algorithm is based on the Kirchhoff approximation, works in the
frequency domain, and exploits the singular value decomposition tool to achieve a stable
solution. The effectiveness of the reconstruction algorithm is shown by processing synthetic
data in the time domain generated via a finite-difference time-domain code. A performance
analysis of the solution algorithm is addressed with varying host medium and measurement …
2-D geometry. The imaging algorithm is based on the Kirchhoff approximation, works in the
frequency domain, and exploits the singular value decomposition tool to achieve a stable
solution. The effectiveness of the reconstruction algorithm is shown by processing synthetic
data in the time domain generated via a finite-difference time-domain code. A performance
analysis of the solution algorithm is addressed with varying host medium and measurement …
A shape reconstruction algorithm is formulated for the multimonostatic configuration and the 2-D geometry. The imaging algorithm is based on the Kirchhoff approximation, works in the frequency domain, and exploits the singular value decomposition tool to achieve a stable solution. The effectiveness of the reconstruction algorithm is shown by processing synthetic data in the time domain generated via a finite-difference time-domain code. A performance analysis of the solution algorithm is addressed with varying host medium and measurement configurations, also by processing synthetic data for a 3-D geometry. Finally, an experimental validation of the technique is performed due to data collected by a time-domain ground-penetrating radar for buried pipe detection and localization.
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