Marine target detection in quad-pol synthetic aperture radar imagery based on the relative phase of cross-polarized channels

Yunhua Wang; Huimin Li; Yanmin Zhang; Lixin Guo

doi:10.1117/1.JRS.9.096092

29 January 2015 Marine target detection in quad-pol synthetic aperture radar imagery based on the relative phase of cross-polarized channels

Yunhua Wang, Huimin Li, Yanmin Zhang, Lixin Guo

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Journal of Applied Remote Sensing, Vol. 9, Issue 1, 096092 (January 2015). https://doi.org/10.1117/1.JRS.9.096092

Abstract

A focus on marine target detection in noise corrupted fully polarimetric synthetic aperture radar (SAR) is presented. The property of the relative phase between two cross-polarized channels reveals that the relative phases evaluated within sea surface area or noise corrupted area are widely spread phase angle region [−π,π] due to decorrelation effect; however, the relative phases are concentrated to zero and ±π for real target and its first-order azimuth ambiguities (FOAAs), respectively. Exploiting this physical behavior, the reciprocal of the mean square value of the relative phase (RMSRP) is defined as a new parameter for target detection, and the experiments based on fully polarimetric Radarsat-2 SAR images show that the strong noise and the FOAAs can be effectively suppressed in RMSRP image. Meanwhile, validity of the new parameter for target detection is also verified by two typical Radarsat-2 SAR images, in which targets’ ambiguities and strong noise are present.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Yunhua Wang, Huimin Li, Yanmin Zhang, and Lixin Guo "Marine target detection in quad-pol synthetic aperture radar imagery based on the relative phase of cross-polarized channels," Journal of Applied Remote Sensing 9(1), 096092 (29 January 2015). https://doi.org/10.1117/1.JRS.9.096092

Published: 29 January 2015

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