Multi-parameter regularization method for atmospheric remote sensing

被引：5

作者：

Doicu, A ^{[1
]}

Schreier, F ^{[1
]}

Hilgers, S ^{[1
]}

Hess, M ^{[1
]}

机构：

[1] DLR, Remote Sensing Technol Inst, D-82234 Wessling, Germany

来源：

COMPUTER PHYSICS COMMUNICATIONS | 2005年 / 165卷 / 01期

关键词：

inverse problems; nonlinear least squares; multi-parameter regularization; atmospheric spectroscopy; remote sensing;

D O I：

10.1016/j.cpc.2004.08.006

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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 O-3 and NO2 profiles using the scattered light from the limb of the atmosphere are presented. (C) 2004 Elsevier B.V. All rights reserved.

引用

页码：1 / 9

页数：9

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