P. Simoneau, K. Caillault, S. Fauqueux, T. Huet, L. Labarre et al., MATISSE-v1.5 and MATISSE-v2.0: new developments and comparison with MIRAMER measurements, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XX, p.73000, 2009.
DOI : 10.1117/12.818473

Q. Fu and K. N. Liou, -Distribution Method for Radiative Transfer in Nonhomogeneous Atmospheres, Journal of the Atmospheric Sciences, vol.49, issue.22, pp.2139-2156, 1992.
DOI : 10.1175/1520-0469(1992)049<2139:OTCDMF>2.0.CO;2

URL : https://hal.archives-ouvertes.fr/jpa-00210656

A. A. Lacis and V. Oinas, distribution method for modeling nongray gaseous absorption, thermal emission, and multiple scattering in vertically inhomogeneous atmospheres, Journal of Geophysical Research, vol.15, issue.31, pp.9027-9063, 1991.
DOI : 10.1029/90JD01945

L. Ibgui and J. Hartmann, An optimized line by line code for plume signature calculations???I: model and data, Journal of Quantitative Spectroscopy and Radiative Transfer, vol.75, issue.3, pp.273-295, 2002.
DOI : 10.1016/S0022-4073(02)00010-9

G. Li, Z. Lu, G. Guo, and K. Huang, 3D atmospheric modeling based on Modtran4, WSEAS Trans. Syst. Control, vol.3, pp.483-492, 2008.

F. Karcher, Détermination des profils atmosphériques de référence pour la mesure de constituants par spectroscopie d'absorption, Programmes PRFL et RMEL, Notes Internes CNRM, 1990.

M. A. Smith, R. N. Tennyson, R. A. Tolchenov, J. Toth, P. Vander-auwera et al., The HITRAN 2004 molecular spectroscopic database, J. Quant. Spectrosc. Radiat. Transfer, vol.96, pp.139-204, 2005.

I. Rivals and L. Personnaz, MLPs (mono-layer polynomial and multi-layer perceptrons) for nonlinear modeling, J. Mach. Learn. Res, vol.3, pp.1383-1398, 2003.

S. Chen, A. Billings, and W. Luo, Orthogonal least squares methods and their application to non-linear system identification, International Journal of Control, vol.10, issue.5, pp.1873-1896, 1989.
DOI : 10.2307/2284566

R. A. Fletcher-13 and . Barron, Neural net approximation, Proceedings of Seventh Yale Workshop on Adaptive and Learning Systems, pp.69-72, 1987.

E. D. Sontag, Neural networks for control, " in Essays on Control: Perspectives in the Theory and its, pp.339-380, 1993.

I. Rivals and L. Personnaz, Construction of confidence intervals for neural networks based on least squares estimation, Neural Networks, vol.13, issue.4-5, pp.463-484, 2000.
DOI : 10.1016/S0893-6080(99)00080-5

URL : https://hal.archives-ouvertes.fr/hal-00798661