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

Döring, Björn and Schmidt, Kersten and Jirousek, Matthias and Rudolf, Daniel and Reimann, Jens and Raab, Sebastian and Schwerdt, Marco (2013) Hierarchical Bayesian Data Analysis in Radiometric SAR System Calibration: A Case Study on Transponder Calibration with RADARSAT-2 Data. Remote Sensing, pp. 6667-6690. Multidisciplinary Digital Publishing Institute (MDPI). DOI: 10.3390/rs5126667 ISSN 2072-4292

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Official URL: http://www.mdpi.com/2072-4292/5/12/6667

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.

Item URL in elib:https://elib.dlr.de/86647/
Document Type:Article
Title:Hierarchical Bayesian Data Analysis in Radiometric SAR System Calibration: A Case Study on Transponder Calibration with RADARSAT-2 Data
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Döring, BjörnUNSPECIFIEDUNSPECIFIED
Schmidt, KerstenUNSPECIFIEDUNSPECIFIED
Jirousek, MatthiasUNSPECIFIEDUNSPECIFIED
Rudolf, DanielUNSPECIFIEDUNSPECIFIED
Reimann, JensUNSPECIFIEDUNSPECIFIED
Raab, SebastianUNSPECIFIEDUNSPECIFIED
Schwerdt, MarcoUNSPECIFIEDUNSPECIFIED
Date:4 December 2013
Journal or Publication Title:Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
DOI :10.3390/rs5126667
Page Range:pp. 6667-6690
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
ISSN:2072-4292
Status:Published
Keywords:synthetic aperture radar; radiometric calibration; external calibration; Bayesian data analysis; transponder
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Projekt TanDEM-X
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > Spaceborne SAR Systems
Deposited By: Döring, Björn
Deposited On:12 Dec 2013 09:45
Last Modified:08 Mar 2018 18:49

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