Doicu, Adrian and Schreier, Franz and Hess, Michael (2002) Iteratively Regularized Gauss--Newton Method for Atmospheric Remote Sensing. Computer Physics Communications, 148 (2), pp. 214-226.
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In this paper we present an inversion algorithm for nonlinear ill--posed problems arising in atmospheric remote sensing. The proposed method is the iteratively regularized Gauss--Newton method. The dependence of the performance and behaviour of the algorithm on the choice of the regularization matrices and sequences of regularization parameters is studied by means of simulations. A method for improving the accuracy of the solution when the identity matrix is used as regularization matrix is also discussed. Results are presented for atmospheric temperature retrievals from a far infrared spectrum observed by an airborne uplooking heterodyne instrument.
|Title:||Iteratively Regularized Gauss--Newton Method for Atmospheric Remote Sensing|
|Journal or Publication Title:||Computer Physics Communications|
|In ISI Web of Science:||Yes|
|Page Range:||pp. 214-226|
|Keywords:||Inverse problems, nonlinear least squares, regularization, atmospheric|
|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|
|Institutes and Institutions:||Remote Sensing Technology Institute|
|Deposited By:||Cornelia Roehl|
|Deposited On:||26 Jan 2006|
|Last Modified:||06 Jan 2010 22:11|
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