DocumentCode
327047
Title
Numerical studies of low grazing angle backscatter from 1D and 2D impedance surfaces
Author
Johnson, Joel T. ; Chou, Hsi Tseng
Author_Institution
Dept. of Electr. Eng., Ohio State Univ., Columbus, OH, USA
Volume
4
fYear
1998
fDate
6-10 Jul 1998
Firstpage
2295
Abstract
Numerical simulations of near grazing angle backscattered fields from ocean-like impedance surfaces are described. Both one dimensional and two dimensional surfaces are considered, and efficient algorithms are applied to allow simulations for the large surface sizes required in the near grazing angle region. The algorithms used are based on Monte Carlo simulation using either the sparse matrix-flat surface iterative approach with canonical grid (SMFSIA/CAG) or a recent improved forward-backward technique which allows larger surface heights to be considered. Backscattering cross sections are illustrated for linear hydrodynamic surfaces described by a Pierson Moskowitz spectrum at grazing angles from 1 to 10 degrees in the one dimensional case, and at 10 degrees in the two dimensional case. Variations with surface spectrum low frequency cutoff are investigated, and demonstrate that improved hydrodynamic models for the ocean surface are required to observe “sea-spike” behaviors at low grazing angles
Keywords
backscatter; ocean waves; oceanographic techniques; radar cross-sections; radar theory; remote sensing by radar; Monte Carlo simulation; Pierson Moskowitz spectrum; S-matrix; algorithm; backscatter; canonical grid; forward-backward technique; grazing angle; grazing incidence; linear hydrodynamic surface; low grazing angle; measurement technique; numerical model; numerical simulation; ocean wave; one dimensional impedance; radar remote sensing; radar scattering; radar theory; scattering matrix; sea surface; sea-spike; sparse matrix-flat surface iterative approach; two dimensional impedance; Backscatter; Cutoff frequency; Hydrodynamics; Iterative algorithms; Iterative methods; Numerical simulation; Oceans; Sea surface; Sparse matrices; Surface impedance;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International
Conference_Location
Seattle, WA
Print_ISBN
0-7803-4403-0
Type
conf
DOI
10.1109/IGARSS.1998.703816
Filename
703816
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