DocumentCode
2134749
Title
The Kirchhoff analysis from one- and two-dimensional random surface with the statistical shadowing function
Author
Bourlier, C. ; Berginc, G. ; Saillard, J.
Author_Institution
Ecole Polytechnique, Nantes Univ., France
Volume
5
fYear
2001
fDate
2001
Firstpage
2427
Abstract
In this paper, the bistatic scattering coefficient from one- and two-dimensional random surfaces using the Kirchhoff approximation (KA) with shadowing effect is investigated. The originality of this paper is to include the statistical shadowing function in the average of the scattered field. Although the statistical shadowing function and the scattered field depend on the surface slopes and heights, they are assumed to be statistically independent. Consequently, the shadowed scattering coefficient obtained from averaging the scattered field multiplied by its conjugate, is computed by using the unshadowed scattered field multiplied by the statistical shadowing function. This new model involves an accurate behavior of the scattering coefficient for grazing incidence angles. The model is compared with experimental data from a one-dimensional perfectly-conducting Gaussian rough surface and applied to a two-dimensional sea surface
Keywords
geophysical techniques; ocean waves; oceanographic techniques; radar cross-sections; radar theory; remote sensing by radar; terrain mapping; Kirchhoff analysis; Kirchhoff approximation; bistatic scattering coefficient; geophysical measurement technique; grazing incidence; height; land surface; ocean wave; one dimensional random surface; radar remote sensing; radar scattering; sea surface; shadow; slope; statistical shadowing function; terrain mapping; two dimensional random surface; Backscatter; Electromagnetic scattering; Gaussian processes; Kirchhoff´s Law; Remote sensing; Rough surfaces; Sea surface; Shadow mapping; Surface roughness; Surface waves;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International
Conference_Location
Sydney, NSW
Print_ISBN
0-7803-7031-7
Type
conf
DOI
10.1109/IGARSS.2001.978024
Filename
978024
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