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Iterative regularization methods for atmospheric remote sensing

Doicu, Adrian and Schreier, Franz and Hess, Michael (2004) Iterative regularization methods for atmospheric remote sensing. Journal of Quantitative Spectroscopy & Radiative Transfer, 83 (1), pp. 47-61.

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Abstract

In this paper we present different inversion algorithms for nonlinear ill-posed problems arising in atmosphere remote sensing. The proposed methods are Landweber's method (LwM), the iteratively regularized Gauss-Newton method, and the conventional and regularizing Levenberg-Marquardt method. In addition, some accelerated LwMs and a technique for smoothing the Levenberg-Marquardt solution are proposed. The numerical performance of the methods is studied by means of simulations. Results are presented for an inverse problem in atmospheric remote sensing, i.e., temperature sounding with an airborne uplooking high-resolution far-infrared spectrometer.

Document Type:Article
Additional Information: LIDO-Berichtsjahr=2003,
Title:Iterative regularization methods for atmospheric remote sensing
Authors:
AuthorsInstitution or Email of Authors
Doicu, AdrianUNSPECIFIED
Schreier, FranzUNSPECIFIED
Hess, MichaelUNSPECIFIED
Date:2004
Journal or Publication Title:Journal of Quantitative Spectroscopy & Radiative Transfer
Refereed publication:Yes
In ISI Web of Science:Yes
Volume:83
Page Range:pp. 47-61
Status:Published
Keywords:Inverse problems; Nonlinear least squares; Regularization; Atmospheric spectroscopy; 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):UNSPECIFIED
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute
Deposited By: elib DLR-Beauftragter
Deposited On:25 Jan 2006
Last Modified:06 Jan 2010 22:16

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