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Information operator approach and iterative regularization methods for atmospheric remote sensing

Doicu, Adrian and Hilgers, Siegfried and von Bargen, Albrecht and Rozanov, Alexei and Eichmann, Kai-Uwe and von Savigny, Christian and Burrows, John P (2007) Information operator approach and iterative regularization methods for atmospheric remote sensing. Journal of Quantitative Spectroscopy and Radiative Transfer, 103, pp. 340-350. Elsevier. DOI: 10.1016/j.jqsrt.2006.05.002.

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Official URL: http://dx.doi.org/10.1016/j.jqsrt.2006.05.002


In this study, we present the main features of the information operator approach for solving linear inverse problems arising in atmospheric remote sensing. This method is superior to the stochastic version of the Tikhonov regularization (or the optimal estimation method) due to its capability to filter out the noise-dominated components of the solution generated by an inappropriate choice of the regularization parameter. We extend this approach to iterative methods for nonlinear ill-posed problems and derive the truncated versions of the Gauss–Newton and Levenberg–Marquardt methods. Although the paper mostly focuses on discussing the mathematical details of the inverse method, retrieval results have been provided, which exemplify the performances of the methods. These results correspond to the NO2 retrieval from SCIAMACHY limb scatter measurements and have been obtained by using the retrieval processors developed at the German Aerospace Center Oberpfaffenhofen and Institute of Environmental Physics of the University of Bremen.

Document Type:Article
Title:Information operator approach and iterative regularization methods for atmospheric remote sensing
AuthorsInstitution or Email of Authors
Hilgers, SiegfriedUNSPECIFIED
von Bargen, AlbrechtUNSPECIFIED
Rozanov, AlexeiUniversity of Bremen
Eichmann, Kai-UweUniversity of Bremen
von Savigny, ChristianUniversity of Bremen
Burrows, John PUniversity of Bremen
Date:January 2007
Journal or Publication Title:Journal of Quantitative Spectroscopy and Radiative Transfer
Page Range:pp. 340-350
Keywords:Inverse theory, regularization, atmospheric remote sensing
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:Space
DLR - Program:W EO - Erdbeobachtung
DLR - Research theme (Project):W - Vorhaben Entwicklung von Atmosphärenprozessoren (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Atmospheric Processors
Deposited By: Dr.rer.nat. Franz Schreier
Deposited On:06 Mar 2007
Last Modified:12 Dec 2013 20:23

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