%0 Book Section
%@nexthigherunit 8JMKD3MGPCW/46KUES5
%2 sid.inpe.br/mtc-m21d/2023/12.20.18.35.44
%4 sid.inpe.br/mtc-m21d/2023/12.20.18.35
%3 Chapter3.pdf
%@mirrorrepository urlib.net/www/2021/06.04.03.40.25
%A Silva Neto, Antônio José da,
%A Campos Velho, Haroldo Fraga de,
%@secondarytype PRE LI
%B Computational intelligence applied to inverse problems in radiative transfer
%C Cham
%D 2023
%E Silva Neto, A. J.,
%E Becceneri, J. C.,
%E Campos Velho, H. F.,
%@secondarykey INPE--/
%I Springer
%K Inverse problems, Implicit formulation, Single scattering albedo, Optical thickness, Diffuse reflectivity, Absorption coefficient, Scattering coefficient, Objective function, Levenberg–Marquardt.
%P 19-28
%T Inverse problems in radiative transfer: an implicit formulation
%X In this chapter, some basic concepts in inverse problems are presented, with a focus on application in radiative transfer. A brief discussion is also made about the vector of unknowns to be determined and the experimental data to be used. For the implicit formulation of the inverse problem, i.e., as an optimization problem, the solution using the deterministic method of LevenbergMarquardt (LM) is described. Questions regarding the existence and uniqueness of the solution, as well as the use of regularization techniques, are not addressed in this book. The main objective is to present the metaheuristics and the results obtained with the solution of inverse problems formulated in an implicit way, i.e., as optimization problems.
%@area COMP
%@electronicmailaddress ajsneto@iprj.uerj.br
%@electronicmailaddress haroldo.camposvelho@inpe.br
%@group
%@group COPDT-CGIP-INPE-MCTI-GOV-BR
%@dissemination BNDEPOSITOLEGAL
%@isbn 978-3-031-43543-0
%@isbn 978-3-031-43544-7
%@usergroup simone
%@affiliation Universidade do Estado do Rio de Janeiro (UERJ)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@resumeid
%@resumeid 8JMKD3MGP5W/3C9JHC3
%@versiontype publisher
%@holdercode {isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S}
%@doi 10.1007/978-3-031-43544-7_3