Iterative regularization method for lidar remote sensing
- 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.
| Verfasserangaben: | Christine BöckmannORCiDGND, Andreas KirscheGND |
|---|---|
| URL: | http://www.sciencedirect.com/science/journal/00104655 |
| DOI: | https://doi.org/10.1016/j.cpc.2005.12.019 |
| ISSN: | 0010-4655 |
| Publikationstyp: | Wissenschaftlicher Artikel |
| Sprache: | Englisch |
| Jahr der Erstveröffentlichung: | 2006 |
| Erscheinungsjahr: | 2006 |
| Datum der Freischaltung: | 24.03.2017 |
| Quelle: | Computer physics communications. - ISSN 0010-4655. - 174 (2006), 8, S. 607 - 615 |
| Organisationseinheiten: | Mathematisch-Naturwissenschaftliche Fakultät / Institut für Mathematik |
| Peer Review: | Referiert |
