TY  - JOUR
A1  - Böckmann, Christine
A1  - Kirsche, Andreas
T1  - Iterative regularization method for lidar remote sensing
N2  - 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.
Y1  - 2006
UR  - https://publishup.uni-potsdam.de/frontdoor/index/index/docId/12247
UR  - http://www.sciencedirect.com/science/journal/00104655
SN  - 0010-4655
ER  -