DocumentCode :
1462356
Title :
Reflection loss from a “Pierson-Moskowitz” sea surface using the nonlocal small slope approximation
Author :
Broschat, Shira L.
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Washington State Univ., Pullman, WA, USA
Volume :
37
Issue :
1
fYear :
1999
fDate :
1/1/1999 12:00:00 AM
Firstpage :
632
Lastpage :
634
Abstract :
The lowest-order nonlocal small slope approximation (NLSSA) reflection coefficient is derived, and numerical results are presented for one-dimensional (1D) surfaces, satisfying the Dirichlet boundary condition. Reduction to the perturbation expression occurs in the small height limit, and the first term of the reflection coefficient gives the Kirchhoff approximation (KA) result. Numerical results for the reflection loss at low grazing angles using a Pierson-Moskowitz spectrum are compared with those of other approximate methods as well as with exact integral equation (IE) results. For those cases when exact results are available, the NLSSA is found to give accurate results, comparable to those of the small slope approximation (SSA) and superior to those of classical perturbation theory (PT) and the KA
Keywords :
backscatter; ocean waves; oceanographic techniques; radar cross-sections; radar theory; remote sensing by radar; rough surfaces; sonar; underwater sound; Dirichlet boundary condition; Kirchhoff approximation; Pierson Moskowitz sea surface; Pierson-Moskowitz spectrum; acoustic scattering; bistatic scattering; grazing incidence; integral equation; low grazing angle; lowest-order; measurement technique; nonlocal small slope approximation; numerical model; ocean wave; one dimensional surface; perturbation expression; radar remote sensing; radar scattering; reflection coefficient; reflection loss; rough surface; sea surface; small height limit; sonar; theory; underwater sound; Acoustic reflection; Acoustic scattering; Boundary conditions; Electromagnetic reflection; Electromagnetic scattering; Kirchhoff´s Law; Radar scattering; Rough surfaces; Sea surface; Surface roughness;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/36.739134
Filename :
739134
Link To Document :
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