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Remote Sens. 2013, 5(12), 6667-6690; doi:10.3390/rs5126667
Article

Hierarchical Bayesian Data Analysis in Radiometric SAR System Calibration: A Case Study on Transponder Calibration with RADARSAT-2 Data

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Received: 19 October 2013; in revised form: 20 November 2013 / Accepted: 28 November 2013 / Published: 4 December 2013
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Abstract: A synthetic aperture radar (SAR) system requires external absolute calibration so that radiometric measurements can be exploited in numerous scientific and commercial applications. Besides estimating a calibration factor, metrological standards also demand the derivation of a respective calibration uncertainty. This uncertainty is currently not systematically determined. Here for the first time it is proposed to use hierarchical modeling and Bayesian statistics as a consistent method for handling and analyzing the hierarchical data typically acquired during external calibration campaigns. Through the use of Markov chain Monte Carlo simulations, a joint posterior probability can be conveniently derived from measurement data despite the necessary grouping of data samples. The applicability of the method is demonstrated through a case study: The radar reflectivity of DLR’s new C-band Kalibri transponder is derived through a series of RADARSAT-2 acquisitions and a comparison with reference point targets (corner reflectors). The systematic derivation of calibration uncertainties is seen as an important step toward traceable radiometric calibration of synthetic aperture radars.
Keywords: synthetic aperture radar; radiometric calibration; external calibration; Bayesian data analysis; transponder synthetic aperture radar; radiometric calibration; external calibration; Bayesian data analysis; transponder
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Döring, B.J.; Schmidt, K.; Jirousek, M.; Rudolf, D.; Reimann, J.; Raab, S.; Antony, J.W.; Schwerdt, M. Hierarchical Bayesian Data Analysis in Radiometric SAR System Calibration: A Case Study on Transponder Calibration with RADARSAT-2 Data. Remote Sens. 2013, 5, 6667-6690.

AMA Style

Döring BJ, Schmidt K, Jirousek M, Rudolf D, Reimann J, Raab S, Antony JW, Schwerdt M. Hierarchical Bayesian Data Analysis in Radiometric SAR System Calibration: A Case Study on Transponder Calibration with RADARSAT-2 Data. Remote Sensing. 2013; 5(12):6667-6690.

Chicago/Turabian Style

Döring, Björn J.; Schmidt, Kersten; Jirousek, Matthias; Rudolf, Daniel; Reimann, Jens; Raab, Sebastian; Antony, John W.; Schwerdt, Marco. 2013. "Hierarchical Bayesian Data Analysis in Radiometric SAR System Calibration: A Case Study on Transponder Calibration with RADARSAT-2 Data." Remote Sens. 5, no. 12: 6667-6690.


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