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Hybrid Methods in Engineering

ISSN Print: 1099-2391

Archives: Volume 1, 1999 to Volume 4, 2002

Hybrid Methods in Engineering

DOI: 10.1615/HybMethEng.v2.i4.20
16 pages

PHASE FUNCTION ESTIMATION IN NATURAL WATERS USING DISCRETE ORDINATES METHOD AND MAXIMUM ENTROPY PRINCIPLE

E. S. Chalhoub
Laboratorio Associado de Computacao e Matematica Aplicada (LAC), Instituto Nacional de Pesquisas Espaciais (INPE), Caixa Postal 515, CEP 12201-970—Sao Jose dos Campos SP, Brazil
Haroldo F. de Campos Velho
Institute Nacional de Pesquisas Espaciais (INPE), Caixa Postal 515, 12201-970 São José dos Campos - SP, Brazil
Fernando Manuel Ramos
Instituto Nacional de Pesquisas Espaciais (INPE), Laboratório Associado de Computação e Matemática Aplicada (LAC), Caixa Postal 515, 12201-970 - São José dos Campos, SP - Brazil
J. C. R. Claeyssen
Instituto de Matematica, Universidade Federal do Rio Grande do Sul (UFRGS) Av. Ben to Goncalves, 9500, CEP 91509-900—Porto Alegre RS, Brazil
Member of Editorial Board
2001 - 2003 Journal: TEMA. Trends in Computational and Applied Mathematics

ABSTRACT

A technique for estimating the phase function in natural waters, based on the least square estimator, which is associated with a regularization function (maximum entropy principle), is presented. In the analyses, synthetic data (radiances and irradiances) corrupted with noise were used. These data were generated by the same analytical direct model employed in the inversion and implemented by PEESNC code. The inverse problem is iteratively solved by the quasi-Newtonian optimization algorithm. The recovery of the phase function is successfully performed for the selected sample problem.