TY - JOUR
T1 - Novel rank filtering algorithms in subsurface imaging problems
AU - Ponomaryov, Volodymyr I.
AU - Saul, Vega Perez
AU - Pogrebnyak, Oleksiy B.
AU - Volosyuk, Valery K.
AU - Velasco Herrera, Victor M.
PY - 1999
Y1 - 1999
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=0033353545&partnerID=8YFLogxK
M3 - Artículo de la conferencia
AN - SCOPUS:0033353545
SN - 0277-786X
VL - 3704
SP - 196
EP - 207
JO - Proceedings of SPIE - The International Society for Optical Engineering
JF - Proceedings of SPIE - The International Society for Optical Engineering
T2 - Proceedings of the 1999 Radar Sensor Technology IV
Y2 - 8 April 1999 through 8 April 1999
ER -