Paper
19 July 2000 Blind polarimetric calibration of ultrawideband SAR imagery
Gregory A. Showman, James H. McClellan
Author Affiliations +
Abstract
Polarimetric synthetic aperture radar (SAR) imagery is susceptible to degradation because of variations in transmit and receiver antenna patterns and hardware limitations on achievable polarimetric isolation. A number of polarimetric calibration procedures have been developed to compensate for these effects. However, most of these techniques were formulated with narrowband radar systems in mind. The few that are applicable to ultrawideband (UWB) SAR depend on very high quality antenna measurements or detailed electromagnetic scattering models of test targets. In this paper we develop and implement a blind polarimetric equalization (BPE) procedure suitable for UWB SAR. BPE uses second-order statistics from clutter and targets of opportunity to derive parameters describing the polarimetric response of the radar system. Knowledge of these parameters permits the removal of crosstalk and the correction of imbalances between the polarimetric channels. While not a complete calibration solution, BPE is shown to greatly simplify any subsequent calibration procedure. For UWB applications BPE is implemented as a series of frequency domain operations, a feature that sets this approach apart from previously reported clutter calibration algorithms. The performance of the technique was verified using narrowband inverse SAR measurements, UWB SAR simulations, and UWB SAR data collected by the Army Research Laboratory's BoomSAR system.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gregory A. Showman and James H. McClellan "Blind polarimetric calibration of ultrawideband SAR imagery", Proc. SPIE 4033, Radar Sensor Technology V, (19 July 2000); https://doi.org/10.1117/12.391841
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Polarimetry

Synthetic aperture radar

Calibration

Mining

Antennas

Radar

Image processing

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