(Article of periodic en Anglais - 2012)

Document title

Regularization for inverse models in remote sensing

Authors(s) and Affiliation(s)

WANG Y. (1) ;
(1) Chinese Academy of Sciences, Beijing, CHINE


The pivotal problem for quantitative remote sensing is inversion. This paper will address the theory and methods from the viewpoint that the quantitative remote sensing inverse problems can be represented by kernel-based operator equations and solved by coupling regularization and optimization methods. In particular, it is proposed sparse and non-smooth regularization and optimization techniques for solving inverse problems in remote sensing. Numerical experiments are also made to demonstrate the applicability of the algorithms. Two problems are considered as examples. One is the estimation of land surface parameters, another is the retrieval of aerosol particle size distribution function


Article of periodic

published at : Progress in physical geography / ISSN 0309-1333 / CODEN PPGEEC

Editor : Sage Publications, London - ROYAUME-UNI (1977)

Millesime : 2012, vol. 36, no1 [pp. 38-59]

Bibliographic references : 57 ref.

Collation : 9 fig., 4 tabl.



INIST-CNRS, Cote INIST : 14648 A

Digital Object Identifier

Go to electronic document thanks to its DOI : doi:10.1177/0309133311420320

Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2012
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