Requirement on Antenna Cross-Polarization Isolation for the Operational Use of C-Band SAR Constellations in Maritime Surveillance

Touzi, R.; Vachon, P.W.; Wolfe, John

doi:10.1109/lgrs.2010.2053835

Cited by 58 publications

(40 citation statements)

References 12 publications

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“…Recent investigations show that for winds of more than 20 m s -1 , in storm or hurricane conditions, the 0.5-1-dB NRCS calibration error will induce 3-8 m s -1 errors using standard wind retrieval algorithms (Yang et al 2011a). In addition, RADARSAT-2 dual-polarization data also suffer from cross-polarization leakage (Touzi et al 2010 Figure 5d shows the retrieved winds from C-2PO, without any external wind direction and radar incidence angle inputs.…”

Section: Radarsat-2mentioning

confidence: 99%

“…The fine quad-polarization data have a very low noise floor. Interchannel cross talk is corrected in the processor to better than −35 dB, which is appropriate for HV backscatter measurements, without contamination from the HH or VV polarization data (Touzi et al 2010). However, for Hurricane Earl, the RADARSAT-2 SAR image is acquired in dual-polarization imaging mode; the incidence angles in the near and far range are 19.4° and 49.4°, respectively.…”

mentioning

confidence: 99%

“…The fine quad-polarization data have a very low noise floor. Moreover, interchannel cross talk is corrected in the processor to better than −35 dB, which is appropriate for hV backscatter measurements, without contamination from the hh or VV polarization data (Touzi et al 2010). …”

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confidence: 99%

See 2 more Smart Citations

Cross-Polarized Synthetic Aperture Radar: A New Potential Measurement Technique for Hurricanes

Zhang

Perrie

2012

Bulletin of the American Meteorological Society

210

125

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Section: Radarsat-2mentioning

confidence: 99%

mentioning

confidence: 99%

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Cross-Polarized Synthetic Aperture Radar: A New Potential Measurement Technique for Hurricanes

Zhang

Perrie

2012

Bulletin of the American Meteorological Society

210

125

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“…The noise floor level and/or cross talk (Touzi et al, 2010) of all other space borne SARs is too high, giving NRCS values useless with respect to SAR wind speed retrieval. In case of Radarsat-2 imagery, to get an accurate estimate of the cross pol NRCS, the data have to be corrected for the contribution of the noise floor to the measured NRCS.…”

Section: Performing Organization Name(s) and Address(es)mentioning

confidence: 99%

Estimating Winds from Synthetic Aperture Radar under Typhoon Conditions

Horstmann¹

2012

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LONG-TERM GOALSThe Impacts of Typhoons on the Ocean in the Pacific (ITOP) program is a multi-national field campaign that aims to study the ocean response to typhoons in the western Pacific Ocean. The main goals are to understand the formation and dissipation of cold wakes and how ocean eddies affect typhoons. CMRE's activities within ITOP are related to SAR wind retrieval and therefore will be helping to better understand air-sea fluxes under extreme wind speeds and improve the knowledge and forecast of surface wave field under typhoons as well as the Typhoon forcasting. OBJECTIVESCMRE (former NATO Undersea Research Center) is part of the ITOP SAR Team working on extracting wind and wave information from synthetic aperture radar (SAR) data. Their major objectives are the development and implementation of a SAR Typhoon Processing System (SARTyPS) for near real time processing of SAR data with respect to estimating wind and sea state under tropical cyclone conditions. It is anticipated to incorporate the SAR-retrieved information into numerical models in particular with respect to tropical cyclone forecasting.The main objectives for CMRE are the development of algorithms that are capable of extracting wind information from SAR images in near real time and fully automated. The SAR activity within ITOP is a close cooperation with the Center for Southeastern Tropical Advanced Remote Sensing (CSTARS) of the University of Miami, General Dynamics Advanced Information Systems (GDAIS) and the Applied Physics Laboratory (APL) of the University of Washington. APPROACHIn a first step prior to wind retrieval all SAR data have to be accurately calibrated for the normalized radar cross section (NRCS). In addition all acquisitions performed in the scanning mode also have to be corrected for scalloping as well as beams and nadir ambiguities. SAR data, which were acquired at cross polarization (pol) have to be corrected for the contribution of the noiseequivalent sigma naught (noise floor) of the system to the NRCS. Following these data calibration steps the wind retrieval can be undertaken. In case of SAR data collected at C-and X-band in co-pol, meaning vertical (V) or horizontal (H) polarization in transmit and receive, the detailed methodology

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“…The sampled pixel spacing is 4.73 m in the range direction and 4.79 m in the azimuth direction. The fine quad-polarization data have an extremely low noise floor, and cross-talk between different channels was corrected [Morena et al, 2004;Touzi et al, 2010]. [10] The RS-2 fully polarimetric SAR image that constitutes the basis for this study was acquired in the North Pacific near the Gulf of Alaska, at 05:05:35 UTC on 2 February 2009.…”

Section: Polsar Datamentioning

confidence: 99%

On polarimetric characteristics in SAR images of mesoscale cellular convection in the marine atmospheric boundary layer

Perrie

Guo

et al. 2011

J. Geophys. Res.

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Convection is an important phenomenon in the marine atmospheric boundary layer (MABL). Previous spaceborne radar studies of such have been limited to single polarization data, and therefore their focus was on the variation in intensity of the radar return, which was constrained by the existence of a single polarization image pattern, representing different atmospheric and oceanic phenomena. In this paper, we study the polarimetric characteristics of mesoscale cellular convection (MCC) in the MABL using high‐resolution data from fully polarimetric (HH, VV, HV, and VH) RADARSAT‐2 (RS‐2) synthetic aperture radar (SAR) images, in conjunction with closely collocated mesoscale atmospheric model simulations, to identify the MCC signatures. To compare the polarimetric characteristics of MCC with those of the ocean surface, our analysis also includes 641 open ocean surface quad‐polarization RS‐2 SAR images collocated with 52 National Data Buoy Center buoys. The open ocean surface SAR images exhibit different polarimetric characteristics from those of MCC. Thus, we differentiate MCC from other open ocean phenomena, based on identifiable polarimetric SAR characteristics.

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Requirement on Antenna Cross-Polarization Isolation for the Operational Use of C-Band SAR Constellations in Maritime Surveillance

Cited by 58 publications

References 12 publications

Cross-Polarized Synthetic Aperture Radar: A New Potential Measurement Technique for Hurricanes

Cross-Polarized Synthetic Aperture Radar: A New Potential Measurement Technique for Hurricanes

Estimating Winds from Synthetic Aperture Radar under Typhoon Conditions

On polarimetric characteristics in SAR images of mesoscale cellular convection in the marine atmospheric boundary layer

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