DocumentCode :
3393236
Title :
Reconstruction of a high-contrast penetrable object in pulsed time domain by using the genetic algorithm
Author :
Choi, Hong-Ki ; Park, Seong-Kil ; Jung-Woong, R.A.
Author_Institution :
Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Seoul, South Korea
Volume :
1
fYear :
1997
fDate :
3-8 Aug 1997
Firstpage :
136
Abstract :
A three dimensional dielectric object having high relative dielectric constant of 7.0 and large size of wavelength cube is reconstructed from the scattered fields in the space-time domain when plane waves of gaussian pulse shine the object. This reconstruction is obtained from the iterative inversion method that minimizes the cost function by using the Levenberg-Marquardt algorithm and the genetic algorithm to find its global minimum, where the cost function is defined as the squared magnitude of the difference between the measured fields and the calculated fields from the assumed profile of the object. The scattered fields are calculated by the method of FDTD and measured fields used for reconstruction are assumed to have the measurement error
Keywords :
genetic algorithms; geophysical techniques; geophysics computing; inverse problems; radar applications; radar computing; radar detection; radar imaging; remote sensing by radar; terrestrial electricity; Levenberg-Marquardt algorithm; buried object detection; gaussian pulse; genetic algorithm; geoelectric method; geology; geophysical measurement technique; high relative dielectric constant; high-contrast penetrable object; iterative inversion method; large size; object reconstruction; pulsed time domain; radar computing; radar detection; radar imaging; radar remote sensing; radar theory; space-time domain; terrestrial electricity; three dimensional dielectric object; Cost function; Dielectrics; Finite difference methods; Genetic algorithms; Green function; Integral equations; Iterative algorithms; Iterative methods; Light scattering; Permittivity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing, 1997. IGARSS '97. Remote Sensing - A Scientific Vision for Sustainable Development., 1997 IEEE International
Print_ISBN :
0-7803-3836-7
Type :
conf
DOI :
10.1109/IGARSS.1997.615820
Filename :
615820
Link To Document :
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