13 November 2010 Tuning of hyperspectral bio-optical algorithms in the Peter the Great Bay
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Abstract
Ship-based remotely sensed hyperspectral data of sea surface reflectance obtained in the Peter the Great Bay in 2009 and 2010 during different seasons were used. Every spectrum was fitted by analytical biooptical algorithm with five unknown variables. Setup of various initial conditions was used for each spectrum fitting procedure. Optimal values of initial and boundary conditions for Peter the Great Bay were obtained by the analysis of initial and boundary conditions which have led to "true solutions". Relationships between various unknown variables were established in order to simplify the biooptical algorithm and to optimize chooses of initial conditions.
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Pavel A. Salyuk, Pavel A. Salyuk, Oleg A. Bukin, Oleg A. Bukin, Igor E. Stepochkin, Igor E. Stepochkin, Vladimir A. Krikun, Vladimir A. Krikun, Andrey N. Pavlov, Andrey N. Pavlov, } "Tuning of hyperspectral bio-optical algorithms in the Peter the Great Bay", Proc. SPIE 7857, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques, and Applications III, 78570H (13 November 2010); doi: 10.1117/12.869535; https://doi.org/10.1117/12.869535
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