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Proceedings Paper

Novel rank filtering algorithms in subsurface imaging problems
Author(s): Volodymyr I. Ponomaryov; Vega Perez Saul; Oleksiy B. Pogrebnyak; Valerii Konstantinovich Volosyuk; Victor Manuel Velasco Herrera
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Paper Abstract

In this paper we discuss the problem of subsurface target imaging in lossy, inhomogeneous medium with the presence of the air-ground interface. A subsurface imaging radar system using optimal processing procedures and multifrequency holographic approach and characterizing with controlling parameters has been analyzed. It was found the values of contrast coefficient for subsurface object reconstruction on the background signal scattered by upper surface layer that demonstrate high resolution of the image estimated. The resolution of reconstructed images depends on the synthetic aperture length, soil type (electric conductivity and dielectric permittivity), geometrical parameters, central frequency, frequency band and antenna directivity. The novel filtering techniques was proposed in this paper. By mean of use new filters it is possible to increase the quality of the subsurface imaging. Different results of the numerical calculation and simulation of the filtering algorithms are presented. These results show the effectiveness of new algorithms of reconstruction and filtration in the problem of subsurface radar imaging.

Paper Details

Date Published: 20 July 1999
PDF: 12 pages
Proc. SPIE 3704, Radar Sensor Technology IV, (20 July 1999); doi: 10.1117/12.354599
Show Author Affiliations
Volodymyr I. Ponomaryov, Instituto Politecnico Nacional (Mexico)
Vega Perez Saul, Instituto Politecnico Nacional (Mexico)
Oleksiy B. Pogrebnyak, Instituto Politecnico Nacional (Mexico)
Valerii Konstantinovich Volosyuk, Kharkov Aviation Institute (Ukraine)
Victor Manuel Velasco Herrera, Kharkov Aviation Institute (Ukraine)

Published in SPIE Proceedings Vol. 3704:
Radar Sensor Technology IV
Robert Trebits; James L. Kurtz, Editor(s)

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