This letter addresses the problem of reconstructing the geometrical features, i.e., location, shape, and size of targets embedded into a nonaccessible region. In particular, an approach recently introduced for the case of free space and full aspect measurements is extended, discussed, and validated for the more realistic and challenging case of data collected under “aspect limited” measurement configurations, which include subsurface sensing, cross-borehole imaging, and many other cases. Results obtained by considering 2-D scenario and noise affected simulated data confirm the potentialities of the proposed method in dealing with realistic applications.

Boundary Indicator for Aspect Limited Sensing of Hidden Dielectric Objects

Bevacqua M;Isernia T
2018-01-01

Abstract

This letter addresses the problem of reconstructing the geometrical features, i.e., location, shape, and size of targets embedded into a nonaccessible region. In particular, an approach recently introduced for the case of free space and full aspect measurements is extended, discussed, and validated for the more realistic and challenging case of data collected under “aspect limited” measurement configurations, which include subsurface sensing, cross-borehole imaging, and many other cases. Results obtained by considering 2-D scenario and noise affected simulated data confirm the potentialities of the proposed method in dealing with realistic applications.
2018
Equivalence theorem , hidden objects , inverse source problem , microwave imaging , shape reconstruction , sparsity promotion , subsurface sensing
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12318/46929
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