DocumentCode
1357688
Title
Multifrequency dielectric profile inversion for a cylindrically stratified medium
Author
Pierri, Rocco ; Brancaccio, Adriana ; De Blasio, Francesco
Author_Institution
Dipt. di Ingegneria dell´´Inf., Seconda Univ. di Napoli, Italy
Volume
38
Issue
4
fYear
2000
fDate
7/1/2000 12:00:00 AM
Firstpage
1716
Lastpage
1724
Abstract
The linear and the quadratic Born approximations of the inverse scattering problem are analyzed in the case of multifrequency measurements. The attention is focused on the determination of the maximum number of independent data available to perform the inversion for a fixed frequency interval. This number is obtained by performing the Fourier transform of the field scattered by the object under test and calculating its bandwidth under both the approximations. The results were that the quadratic model allows the authors to achieve a double number of independent data, changing the class of profiles that can be reconstructed with respect to the linear model. In order to show the validity of this conclusion, a numerical example of inversion under the two different models is performed
Keywords
geophysical techniques; radar cross-sections; remote sensing by radar; terrain mapping; terrestrial electricity; EM scattering; Fourier transform; buried object detection; cylindrically stratified medium; exploration; geoelectric method; geophysical measurement technique; ground penetrating radar; inverse scattering; land surface; multifrequency dielectric profile inversion; multifrequency measurement; prospecting; quadratic Born approximation; quadratic model; radar remote sensing; terrain mapping; terrestrial electricity; Bandwidth; Dielectric measurements; Electromagnetic scattering; Frequency; Ground penetrating radar; Image reconstruction; Inverse problems; Performance evaluation; Radar scattering; Testing;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing, IEEE Transactions on
Publisher
ieee
ISSN
0196-2892
Type
jour
DOI
10.1109/36.851970
Filename
851970
Link To Document