An iterative regularization method with B-spline approximation for atmospheric temperature and concentration retrievals

被引：4

作者：

Doicu, A ^{[1
]}

Schreier, F ^{[1
]}

Hess, M ^{[1
]}

机构：

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

来源：

ENVIRONMENTAL MODELLING & SOFTWARE | 2005年 / 20卷 / 09期

关键词：

inverse problems; nonlinear least squares; regularization; atmospheric spectroscopy; remote sensing;

D O I：

10.1016/j.envsoft.2004.06.007

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

A retrieval algorithm using B-spline approximation for solving ill-posed inverse problems arising in atmospheric remote sensing is presented. The nonlinear ill-posed inversion is achieved by means of a hybrid approach combining higher-order B-spline functions and the iteratively regularized Gauss-Newton method. The performance of the inversion algorithm is studied by means of simulations for atmospheric temperature retrieval from far infrared airborne observations and molecular concentration retrievals from infrared limb emission spectra. (c) 2004 Elsevier Ltd. All rights reserved.

引用

页码：1101 / 1109

页数：9

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