NDLI: Targets detecting in the ocean using the cross-polarized channels of fully polarimetric SAR data

Content Provider	Springer Nature Link
Author	Wang, Yunhua Liu, Xiaoyan Li, Huimin Zhang, Yanmin
Copyright Year	2015
Abstract	Azimuth ambiguities (ghost targets) discrimination is of great interest with the development of a synthetic aperture radar (SAR). And the azimuth ambiguities are often mistaken as actual targets and cause false alarms. For actual targets, HV channel signals acquired by a fully polarimetric SAR are approximately equal to a VH channel in magnitude and phase, i.e., the reciprocity theorem applies, but shifted in phase about ±π for the first-order azimuth ambiguities. Exploiting this physical behavior, the real part of the product of the two cross-polarized channels, i.e. (S $_{HV}$ S $_{VH}$*), hereafter called A $_{12r}$, is employed as a new parameter for a target detection at sea. Compared with other parameters, the contrast of A $_{12r}$ image between a target and the surrounding sea surface will be obviously increased when A $_{12r}$ image is processed by mean filtering algorithm. Here, in order to detect target with constant false-alarm rates (CFARs), an analytical expression for the probability density function (pdf) of A $_{12r}$ is derived based on the complex Wishart-distribution. Because a value of A $_{12r}$ is greater/less than 0 for real target/its azimuth ambiguities, the first-order azimuth ambiguities can be completely removed by this A $_{12r}$-based CFAR technology. Experiments accomplished over C-band RADARSAT-2 fully polarimetric imageries confirm the validity.
Starting Page	85
Ending Page	93
Page Count	9
File Format	PDF
ISSN	0253505X
Journal	Acta Oceanologica Sinica
Volume Number	34
Issue Number	1
e-ISSN	18691099
Language	English
Publisher	The Chinese Society of Oceanography
Publisher Date	2015-01-13
Publisher Place	Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	azimuth ambiguities polarimetric SAR CFAR detection algorithm Oceanography Climatology Ecology Engineering Fluid Dynamics Marine & Freshwater Sciences Environmental Chemistry
Content Type	Text
Resource Type	Article
Subject	Aquatic Science Oceanography

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