Mathematics – Logic
Scientific paper
Nov 2000
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2000spie.4123...25p&link_type=abstract
Proc. SPIE Vol. 4123, p. 25-34, Image Reconstruction from Incomplete Data, Michael A. Fiddy; Rick P. Millane; Eds.
Mathematics
Logic
Scientific paper
In the framework of ARCHEO, a national research project funded by the Italian Ministry for Universities and Scientific and Technological Research (M.U.R.S.T.), a new ground penetrating radar (GPR) has been developed by the Italian Consortium for Research on Advanced Remote Sensing Systems (CO.RI.S.T.A.). The system has been specially designed to meet archaeological requirements and it will be tested the two archaeological sites of Sinuessa and Cales, in the Southern Italy. An innovative feature of ARCHEO concerns the exploitation of that of a multiview multistatic measurement scheme (at several frequencies) rather than a more common multimonostatic (or multibistatic). In order to reconstruct buried objects starting from the measurement data collected with such an acquisition strategy, it is made use of an inverse scattering technique. With the real project ARCHEO in mind (in particular this scheme of measurement), this paper deals with a theoretical discussion on the features of the class of retrievable profiles by G.P.R. data, within the framework of a linear model for electromagnetic scattering in a two dimensional lossless half space. For a given range of frequencies exploitable, multiview multistatic measurements can be useful in G.P.R. prospecting because they can provide information on low spatial harmonic components of an unknown object not attainable from the multimonostatic scheme exploiting the same frequency range. In particular, we show that, for a given band of work frequencies, the class of the unknowns retrievable by a multiview multistatic multifrequency measurement configuration can be is not much different from that attainable within a multimonostatic configuration with the addition of multiview multistatic data taken at the lowest of the frequencies adopted.
Alberti Giovanni
Esposito Salvatore
Leone Giovanni
Persico Raffaele
Soldovieri Francesco
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