Error analysis and minimum bound method for atmospheric remote sensing

被引：2
|
作者：
Doicu, Adrian [1 ]
Schreier, Franz [1 ]
Hilgers, Siegfried [1 ]
Hess, Michael [1 ]
机构：
[1] DLR, German Aerosp Ctr, Remote Sening Technol Inst, D-82234 Oberpfaffenhofen, Wessling, Germany
来源：
ENVIRONMENTAL MODELLING & SOFTWARE | 2007年 / 22卷 / 06期
关键词：
inverse problems; nonlinear least squares; regularization; remote sensing;
D O I：
10.1016/j.envsoft.2005.08.006
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
In this study, we present an error analysis for Tikhonov regularization in a semi-stochastic setting. The analysis is carried out in such a way that it can be applied to any kind of inverse problem in atmospheric remote sensing. A method for selecting the optimal regularization parameter relying on the minimization of an estimator of the bound of the error between the first iterate and the exact solution is also discussed. Numerical simulations are performed for NO2 retrieval from SCIAMACHY limb scatter measurements. (c) 2006 Elsevier Ltd. All rights reserved.
引用
收藏
页码：837 / 846
页数：10
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