Art
J-GLOBAL ID：200902254396754138
Reference number：04A0349073
Development of a Neural Network Algorithm for Retrieving Concentrations of Chlorophyll, Suspended Matter and Yellow Substance from Radiance Data of the Ocean Color and Temperature Scanner
海色海温走査放射計OCTSの輝度データによるクロロフィル,懸濁物,黄色物質の濃度推定に対する神経回路網アルゴリズムの開発
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Material：
Volume：
60
Issue：
3
Page：
519-530
Publication year：
Jun. 2004
JST Material Number：
G0159B
ISSN：
0916-8370
Document type：
Article
Article type：
原著論文
Country of issue：
Germany, Federal Republic of (DEU)
Language：
ENGLISH (EN)
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JST classification (1)：
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Category name(code) classified by JST.
Physical oceanography in general
Reference (42)：
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AAS, E. Two-stream irradiance model for deep sea. Appl. Opt. 1987, 26, 2095-2101
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BABIN, M. Specifications for case II coastal water reference model. Algorithm Theoretical Basis Document for MERIS (ATBD 2.12). 1996, 61-73
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BRICAUD, A. Absorption by dissolved organic matter of the sea (yellow substance) in the UV and visible domains. Limnol. Oceanogr. 1981, 26, 43-53
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BRICAUD, A. Variability in the chlorophyll-specific absorption coefficients of natural phytoplankton : Analysis and parameterization. J. Geophys. Res. 1995, 100, 13321-13332
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BUCKTON, D. The use of neural networks for the estimation of oceanic constituents based on the MERIS instrument. Int. J. Remote Sensing. 1999, 20, 1841-1851
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