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Open AccessArticle

Sea Surface Current Estimation Using Airborne Circular Scanning SAR with a Medium Grazing Angle

1
National Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China
2
Academy of Space Electronic Information Technology, Xi’an 710100, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2018, 10(2), 178; https://doi.org/10.3390/rs10020178
Received: 19 November 2017 / Revised: 15 January 2018 / Accepted: 15 January 2018 / Published: 26 January 2018
(This article belongs to the Special Issue Ocean Surface Currents: Progress in Remote Sensing and Validation)
Circular scanning synthetic aperture radar (SAR) is a novel imaging mode wherein the radar antenna rotates from 0 degrees to 360 degrees along the platform flight direction, providing us with a potentially effective technique to estimate the sea surface current velocity. In this paper, we propose a novel method to estimate the sea surface current velocity utilizing the Doppler centroid shifts of different scan angles over 360 degrees after the airborne platform motion compensation. In this method, the Doppler centroid shifts of the sea clutter at different scan angles are first extracted, and the corresponding compensation errors caused by the azimuth pointing and the incidence angle of the radar beam are considered. Finally, the least squares (LS) technique is applied to estimate the along-track velocity component and the cross-track velocity component of the sea surface current. The effectiveness of the proposed method is verified by the real data recorded by an airborne circular scanning SAR system. View Full-Text
Keywords: circular scanning synthetic aperture radar (SAR); sea surface current velocity; Doppler centroid shift; least squares (LS) technique circular scanning synthetic aperture radar (SAR); sea surface current velocity; Doppler centroid shift; least squares (LS) technique
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MDPI and ACS Style

Pan, X.; Liao, G.; Yang, Z.; Dang, H. Sea Surface Current Estimation Using Airborne Circular Scanning SAR with a Medium Grazing Angle. Remote Sens. 2018, 10, 178.

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1
Remote Sens., EISSN 2072-4292, Published by MDPI AG
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