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doi:10.1016/j.cpc.2004.08.006    
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Copyright © 2004 Elsevier B.V. All rights reserved.

Multi-parameter regularization method for atmospheric remote sensing

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Adrian DoicuCorresponding Author Contact Information, E-mail The Corresponding Author, Franz Schreier, Siegfried Hilgers and Michael Hess

DLR—Remote Sensing Technology Institute, Oberpfaffenhofen, 82234 Wessling, Germany


Received 16 June 2004. 
Available online 17 November 2004.

Abstract

The iteratively regularized Gauss–Newton algorithm with simple bounds on the variables is extended to the multi-parameter case. The global regularization matrix is computed by using the L-curve method for a sequence of one-parameter regularization problems. Numerical results concerning the joint retrieval of O3 and NO2 profiles using the scattered light from the limb of the atmosphere are presented.

Keywords: Inverse problems; Nonlinear least squares; Multi-parameter regularization; Atmospheric spectroscopy; Remote sensing

PACS: 02.60.-x; 07.05.Tp; 95.75.Fg; 95.75.Rs

Article Outline

1. Introduction
2. Forward model
3. Retrieval algorithm
4. Regularization matrix selection algorithm
5. Numerical simulations
6. Conclusions
References








Corresponding Author Contact InformationCorresponding author.

 
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