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Multilayer perceptron (MLP) neural network algorithms were developed to retrieve the absorption coefficient spectra of the colored dissolved organic matter (CDOM) and nonpigmented particulate matter (NPPM) from the remote sensing reflectance Rrs of optically complex waters. The two MLP algorithms, consisting of one hidden layer with ten neurons and requiring Rrs at 412, 490, and 665 nm as inputs, were trained with a comprehensive experimental dataset of the Northern Adriatic Sea coastal waters. The products of the proposed regional MLP algorithms showed higher accuracies than regional band-ratio algorithms, and exhibited average uncertainties of 20% and 25% in the determination of CDOM and NPPM absorption coefficients at 412 nm, respectively.
Geoscience and Remote Sensing, IEEE Transactions on (Volume:42 , Issue: 8 )
Date of Publication: Aug. 2004