Title
An Improved Linear Sampling Method For Location And Shape Reconstruction Of 3d Buried Targets
Abstract
This paper deals with the problem of reconstructing the geometrical features of 3D targets embedded in a lossy medium. Referring to the Linear Sampling Method, which is attractive due to its computational efficiency, we propose an improved formulation of it, which is able to provide an effective reconstruction of the deeper part of the investigated region. Moreover, the frequency diversity is exploited to obtain accurate shape reconstructions when the transmitting and receiving antennas are located on a narrow grid and a single-polarization of the scattered field is measured.
Year
DOI
Venue
2007
10.1109/IGARSS.2007.4423937
IGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-12: SENSING AND UNDERSTANDING OUR PLANET
Keywords
Field
DocType
subsurface imaging, linear sampling method, shape reconstruction, electromagnetic inverse scattering
Iterative reconstruction,Diversity scheme,Lossy compression,Computer science,Remote sensing,Polarization (waves),Feature extraction,Sampling (statistics),Shape reconstruction,Grid
Conference
ISSN
Citations 
PageRank 
2153-6996
0
0.34
References 
Authors
2
3
Name
Order
Citations
PageRank
Ilaria Catapano110516.35
Lorenzo Crocco29715.77
Tommaso Isernia3437.23