Hybrid Methods in Engineering Modeling, Programming, Analysis, Animation

ISSN for PRINT: 1099-2391

For Online Access

Best Paper Award Selection - Editorial Board Site

2000, Volume2

Issue 4

152 pages

Issue price - $125.00

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

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.

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