Polarimetric calibration of circularly polarized synthetic aperture radar data
Autor: | Douglas A. Gray, Alvin S. Goh, Mark Preiss, Paul Pincus |
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Rok vydání: | 2017 |
Předmět: |
Synthetic aperture radar
Computer science Acoustics Astrophysics::Instrumentation and Methods for Astrophysics 0211 other engineering and technologies Polarimetry Side looking airborne radar Context (language use) 02 engineering and technology law.invention law Distortion Radar imaging General Earth and Planetary Sciences Clutter Electrical and Electronic Engineering Radar 021101 geological & geomatics engineering |
Zdroj: | IEEE Transactions on Geoscience and Remote Sensing. 55:6824-6839 |
ISSN: | 1558-0644 0196-2892 |
DOI: | 10.1109/tgrs.2017.2734924 |
Popis: | Two novel aspects of polarimetric calibration for fully polarimetric imaging radar systems are addressed. First, the radar system model is formulated in the context of two generic transmitter designs, either a single amplifier followed by a high-power switch or a low-power switch followed by two amplifiers. In the latter case, it is shown that a particular factorization of the polarimetric distortion matrix leads to a significant simplification of the cross-talk representation, from the standard four parameters to two reciprocal parameters, one for each of the antennas. Various system models from the literature are thus placed in a unified framework. Second, calibration techniques for circularly polarized antennas are derived, using either corner reflectors or clutter. However, where standard linear-basis algorithms estimate the cross-talk by its first-order distortion of reflection-symmetric clutter, no equivalent algorithm has been found for the circular basis; indeed, it is shown that the distortion caused, to first-order, by circular-basis cross-talk does not permit the individual cross-talk parameters to be identified. The calibration techniques are applied to fully polarimetric data acquired by the Ingara L-band radar using left- and right-polarized helical antennas. |
Databáze: | OpenAIRE |
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