scholarly journals FAST 3-D MICROWAVE IMAGING METHOD BASED ON SUBAPERTURE APPROXIMATION

2012 ◽  
Vol 126 ◽  
pp. 333-353 ◽  
Author(s):  
Ke-Fei Liao ◽  
Xiao-Ling Zhang ◽  
Jun Shi
Keyword(s):  
Microwave Imaging ◽  
Imaging Method

Quantitative Microwave Imaging Method in Lebesgue Spaces With Nonconstant Exponents

2018 ◽  
Vol 66 (12) ◽  
pp. 7282-7294 ◽  
Author(s):  
Claudio Estatico ◽  
Alessandro Fedeli ◽  
Matteo Pastorino ◽  
Andrea Randazzo
Keyword(s):  
Microwave Imaging ◽  
Imaging Method ◽  
Lebesgue Spaces

scholarly journals Microwave Imaging of Three-Dimensional Targets by Means of an Inexact-Newton-Based Inversion Algorithm

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Claudio Estatico ◽  
Matteo Pastorino ◽  
Andrea Randazzo
Keyword(s):  
Inverse Scattering ◽  
Scattering Problem ◽  
Three Dimensional ◽  
Inverse Scattering Problem ◽  
Microwave Imaging ◽  
Inexact Newton Method ◽  
Imaging Method ◽  
Inversion Algorithm ◽  
Three Dimensional Objects ◽  
Full Vector

A microwave imaging method previously developed for tomographic inspection of dielectric targets is extended to three-dimensional objects. The approach is based on the full vector equations of the electromagnetic inverse scattering problem. The ill-posedness of the problem is faced by the application of an inexact-Newton method. Preliminary reconstruction results are reported.

scholarly journals Experimental Validation of a Microwave Imaging Method for Shallow Buried Target Detection by Under-Sampled Data and a Non-Coperative Source

2021 ◽  
Author(s):  
Adriana Brancaccio ◽  
Giovanni Leone ◽  
Rocco Pierri ◽  
Raffaele Solimene
Keyword(s):  
Spatial Data ◽  
Horn Antenna ◽  
Test Site ◽  
Microwave Imaging ◽  
Single Frequency ◽  
Reference Plane ◽  
Imaging Method ◽  
Sampled Data ◽  
Working Frequency ◽  
Soil Interface

In microwave imaging it is often of interest to inspect electrically large spatial regions. In these cases, data must be collected over a great deal of measurement points which entails long measurement time and/or costly, and often unfeasible, measurement configurations. In order to counteract such drawbacks, we have recently introduced a microwave imaging algorithm which looks for the scattering targets in terms of equivalent surface currents supported over a given reference plane. While this method is suited to detect shallowly buried targets, it allows to independently process each frequency data, hence the source and the receivers do not need to be synchronized. Moreover, spatial data can be reduced at large extent, without incurring in aliasing artefacts, by properly combining single-frequency reconstructions. In this paper, we validate such an approach by experimental measurements. In particular, the experimental test site consists of a sand box in open air where metallic plate targets are shallowly buried (few cm) under the air/soil interface. The investigated region is illuminated by a fixed transmitting horn antenna whereas the scattered field is collected over a planar measurement aperture at a fixed height from the air-sand interface. The transmitter and the receiver share only the working frequency information. Experimental results confirm the feasibility of the method.

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