NDLI: Static and dynamic modeling of a SAR imaged ocean scene

Content Provider	IEEE Xplore Digital Library
Author	Shuchman, R. Maffett, A. Klooster Jr., A.
Copyright Year	1976
Abstract	A number of models exist that attempt to explain wave imagery obtained with a synthetic aperture radar (SAR). These models are of two types; static models that depend on instantaneous surface features and dynamic models that employ surface velocities. Radar backscatter values (\sigma_{0}) were calculated from 1.3- and 9.4-GHz SAR data collected off Marineland, FL. The\sigma_{0}data (averaged over many wave trains) collected at Marineland can best be modeled by the Bragg-Rice-Phillips model which is based on roughness variation and the complex dielectric constant of oceans. This result suggests that capillaries on the surface of oceanic waves are the primary cause for the surface return observed by a SAR. Salinity and temperature of the sea at small and medium incidence angles produce little effect upon sea-surface reflection coefficients atX-band, for either of the linear polarizations. The authors' observation of moving ocean, imaged by the SAR and studied in the SAR optical correlator, support a theory that the ocean surface appears relatively stationary in the absence of currents. The reflecting surface is most likely moving slowly (i.e., capillaries) relative to the phase velocity of the large gravity waves.
Sponsorship	IEEE Oceanic Engineering Society
Starting Page	41
Ending Page	49
Page Count	9
File Size	893630
File Format	PDF
ISSN	03649059
Volume Number	6
Issue Number	2
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1981-04-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Layout Ocean temperature Optical surface waves Sea surface Surface waves Synthetic aperture radar Rough surfaces Surface roughness Radar imaging Backscatter
Content Type	Text
Resource Type	Article
Subject	Ocean Engineering Mechanical Engineering Electrical and Electronic Engineering

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