In this paper, we describe a fuzzy model for the estimation of sea water optically active constituents concentration in case II water. The model is extracted automatically from the data through a two step procedure. First, a fuzzy clustering algorithm is applied to identify a compact initial rule-based model. Then, the model is optimized by means of a genetic algorithm which tunes the rules so as to minimize the error between desired and predicted outputs. Appropriate constraints maintain the semantic properties of the initial model during the genetic evolution. The fuzzy model has been tailored to the multispectral data format of the MEdium Resolution Imaging Spectrometer (MERIS) on board the ESAENVISAT satellite launched in March 2002.

A Fuzzy Model for the Retrieval of the Sea Water Optically Active Constituents Concentration from MERIS Data

CORSINI, GIOVANNI;DIANI, MARCO;LAZZERINI, BEATRICE;MARCELLONI, FRANCESCO;COCOCCIONI, MARCO
2002

Abstract

In this paper, we describe a fuzzy model for the estimation of sea water optically active constituents concentration in case II water. The model is extracted automatically from the data through a two step procedure. First, a fuzzy clustering algorithm is applied to identify a compact initial rule-based model. Then, the model is optimized by means of a genetic algorithm which tunes the rules so as to minimize the error between desired and predicted outputs. Appropriate constraints maintain the semantic properties of the initial model during the genetic evolution. The fuzzy model has been tailored to the multispectral data format of the MEdium Resolution Imaging Spectrometer (MERIS) on board the ESAENVISAT satellite launched in March 2002.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/201370
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