Using SOM to estimate optical inherent properties from remote sensing reflectance

Abstract

This article presents a neural network classifier able to retrieve the optical properties of four ocean constituents from remote sensing reflectance. When comparing this model to some standard algorithms, we found that the neural network gives the best performances.