DocumentCode
2112757
Title
Can geometric optics fully describe radar images of the sea surface at grazing incidence?
Author
Buckley, Joseph R.
Author_Institution
Dept. of Phys., R. Mil. Coll. of Canada, Kingston, Ont., Canada
Volume
4
fYear
2001
fDate
2001
Firstpage
1732
Abstract
It is possible to estimate the significant wave height of the ocean surface using shadowing statistics computed from grazing incidence radar imagery. The theoretical basis for this estimation is a geometric optics view of a gaussian surface. In practice it is necessary to apply an empirical correction based on the intensity of the radar backscatter in order to produce a wide range of verifiable wave heights. To explore the reasons for this correction, we have conducted a one-dimensional Monte-Carlo simulation of the sea surface at a wide range of significant wave heights, and have observed it with a ray trace program from several source heights and configurations. We conclude that, although the finite amplitude effects simulated in this experiment partially explain the results observed at sea, some electromagnetic interaction unaccounted for in geometric optics must also be responsible for the result. We suggest that increased local incidence angle is a possible source of the difference between observations and our simulation
Keywords
ocean waves; oceanographic techniques; radar cross-sections; radar theory; remote sensing by radar; Monte-Carlo method; gaussian surface; geometric optics; grazing incidence; measurement technique; ocean wave; one dimensional simulation; radar backscatter; radar image; radar imaging; radar remote sensing; sea surface; shadowing statistics; significant wave height; Backscatter; Geometrical optics; Laser radar; Oceans; Optical surface waves; Radar imaging; Sea surface; Shadow mapping; Statistics; 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.2001.977053
Filename
977053
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