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Hierarchical Bayesian Data Analysis in Radiometric SAR System Calibration: A Case Study on Transponder Calibration with RADARSAT-2 Data
- Source :
- Remote Sensing, Vol 5, Iss 12, Pp 6667-6690 (2013), Remote Sensing; Volume 5; Issue 12; Pages: 6667-6690
- Publication Year :
- 2013
- Publisher :
- MDPI AG, 2013.
-
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.
- Subjects :
- Synthetic aperture radar
Computer science
Calibration (statistics)
Science
Posterior probability
Astrophysics::Instrumentation and Methods for Astrophysics
Markov chain Monte Carlo
radiometric calibration
Bayesian data analysis
Transponder (aeronautics)
Bayesian statistics
symbols.namesake
external calibration
transponder
symbols
General Earth and Planetary Sciences
Radiometric dating
Satelliten-SAR-Systeme
synthetic aperture radar
Radiometric calibration
Remote sensing
Transponder
Subjects
Details
- ISSN :
- 20724292
- Volume :
- 5
- Database :
- OpenAIRE
- Journal :
- Remote Sensing
- Accession number :
- edsair.doi.dedup.....c1bcd9861f01fc1b6d391962c998bffc