Orientation angle preserving a posteriori polarimetric SAR calibration

Ainsworth, T.L.; Ferro-Famil, Laurent; Lee, Jong-Sen

doi:10.1109/tgrs.2005.862508

Cited by 115 publications

(80 citation statements)

References 25 publications

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“…φ t = φ t,h − φ t,v is the phase offset between the polarizations when transmitting, φ r = φ r,h − φ r,v is the phase offset in reception and A is the absolute amplitude calibration parameter [61], [62]. The four complex parameters in D can be estimated using a trihedral corner reflector and a reciprocal scatterer with a significant cross polarized contribution [37], [63].…”

Section: F Polarimetric Calibrationmentioning

confidence: 99%

Polarimetric Calibration of the Ku-Band Advanced Polarimetric Radar Interferometer

Baffelli

Frey

Werner

et al. 2018

IEEE Trans. Geosci. Remote Sensing

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Abstract-Differential interferometry using groundbased radar systems permits to monitor displacements in natural terrain with high flexibility in location, time of acquisition and revisit time. In combination with polarimetric imaging, discrimination of different scattering mechanisms present in a resolution cell can be obtained simultaneously with the estimation of surface displacement. In this paper we present the pre-processing steps and the calibration procedure required to produce high-quality calibrated polarimetric single-look complex imagery with KAPRI, a new portable Ku-band polarimetric radar interferometer. The processing of KAPRI data into SLC images is addressed, including the correction of beam squint and of azimuthal phase variations. A polarimetric calibration model adapted to the acquisition mode is presented and used to produce calibrated polarimetric covariance matrix data. The methods are validated by means of a scene containing five trihedral corner reflectors. Data pre-processing is assessed by analyzing the oversampled response of a corner reflector and the polarimetric calibration quality is verified by computing polarimetric signatures and residual calibration parameters.

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Section: F Polarimetric Calibrationmentioning

confidence: 99%

Polarimetric Calibration of the Ku-Band Advanced Polarimetric Radar Interferometer

Baffelli

Frey

Werner

et al. 2018

IEEE Trans. Geosci. Remote Sensing

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“…Unlike the Ainsworth algorithm, Quegan's calculation results seldom have distortion problem, so they can express the polarimetric condition of SAR systems more veritably (Ainsworth, 2006;Xing, 2012). Besides the Quegan method, the reflecting symmetry assumption is widely used in PolCAL.…”

Section: The Quegan Polcal Algorithmmentioning

confidence: 99%

Sample Extraction Bsaed on Helix Scattering for Polarimetric Sar Calibratio

Chang

Zhao

et al. 2017

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Polarimetric calibration (PolCAL) of Synthetic Aperture Radar (SAR) images is a significant preprocessing for further applications. Since the reflection symmetry property of distributed objects can provide stable constraints for PolCAL. It is reasonable to extract these reference samples before calibration. The helix scattering generally appears in complex urban area and disappears for a natural scatterer, making it a good measure to extract distributed objects. In this paper, a novel technique that extracts reflecting symmetry samples is proposed by using helix scattering. The helix scattering information is calculated by Yamaguchi four-component decomposition algorithm. An adaptive threshold selection algorithm based on generalized Gaussian distribution is also utilized to scale the helix scattering components automatically, getting rid of the problem of various numerical range. The extracting results will be taken as PolCAL reference samples and the Quegan method are utilized to calibrate these PolSAR images. A C-band airborne PolSAR data was taken as examples to evaluate its ability in improving calibration precision. Traditional method i.e. extracting samples with span power was also evaluated as contrast experiment. The results showed that the samples extracting method based on helix scattering can improve the Polcal precision preferably.

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“…To compensate for cross talk and channel imbalance [12], we performed polarimetric calibration with the iterative method described in [13]. Finally, the power of the scattering mechanisms (single-bounce, double-bounce and volume scattering) is calculated for each data set with a suitable decomposition (i.e.…”

Section: Data Preparationmentioning

confidence: 99%

Fully polarimetric high-resolution airborne SAR image change detection with morphological component analysis

Domínguez¹,

Henke²,

Small³

et al. 2015

SPIE Proceedings

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Change detection for high resolution Synthetic Aperture Radar (SAR) imagery requires advanced denoising mechanisms to preserve details and minimize speckle. In this work, we propose a change detector based on a Morphological Component Analysis (MCA) of the scattering mechanisms provided with fully polarimetric data sets. With MCA, the power of each scattering mechanism is decomposed into diverse image features. By introducing a priori knowledge of the content of the scenes, and exploiting both the scattering mechanisms and their corresponding shapes, we can significantly improve performance, with fewer false alarms introduced by clutter, focusing errors, and inconsistent acquisition geometries. ABSTRACTChange detection for high resolution Synthetic Aperture Radar (SAR) imagery requires advanced denoising mechanisms to preserve details and minimize speckle. In this work, we propose a change detector based on a Morphological Component Analysis (MCA) of the scattering mechanisms provided with fully polarimetric data sets. With MCA, the power of each scattering mechanism is decomposed into diverse image features. By introducing a priori knowledge of the content of the scenes, and exploiting both the scattering mechanisms and their corresponding shapes, we can significantly improve performance, with fewer false alarms introduced by clutter, focusing errors, and inconsistent acquisition geometries.

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Orientation angle preserving a posteriori polarimetric SAR calibration

Cited by 115 publications

References 25 publications

Polarimetric Calibration of the Ku-Band Advanced Polarimetric Radar Interferometer

Polarimetric Calibration of the Ku-Band Advanced Polarimetric Radar Interferometer

Sample Extraction Bsaed on Helix Scattering for Polarimetric Sar Calibratio

Fully polarimetric high-resolution airborne SAR image change detection with morphological component analysis

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