Iterative regularization method for lidar remote sensing

被引：30

作者：

Boeckmann, C ^{[1
]}

Kirsche, A ^{[1
]}

机构：

[1] Univ Potsdam, Math Inst, D-14469 Potsdam, Germany

来源：

COMPUTER PHYSICS COMMUNICATIONS | 2006年 / 174卷 / 08期

关键词：

remote sensing; laser-radar; aerosol particle distribution; inverse ill-posed problem; iterative regularization;

D O I：

10.1016/j.cpc.2005.12.019

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In this paper we present an inversion algorithm for ill-posed problems arising in atmospheric remote sensing. The proposed method is an iterative Runge-Kutta type regularization method. Those methods are better well known for solving differential equations. We adapted them for solving inverse ill-posed problems. The numerical performances of the algorithm are studied by means of simulations concerning the retrieval of aerosol particle size distributions from lidar observations. (c) 2006 Elsevier B.V. All rights reserved.

引用

页码：607 / 615

页数：9

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