Neural network applications to solve forward and inverse problems in atmospheric and oceanic satellite remote sensing

Abstract

Here we discuss two very important practical applications of the neural network (NN) technique: solution of forward and inverse problems in atmospheric and oceanic satellite remote sensing (RS). A particular example of this type of NN applications-Solving the SAR wind speed retrieval problem-is also presented in Chapter 10 by G. Yung. These applications and those that we discuss in Chapter 11, from the mathematical point of view, belong to the broad class of applications called approximation of mappings. A particular type of the NN, a Multi-Layer Perceptron (MLP) NN (Rumelhart et al. 1986) is usually employed to approximate mappings. We will start by introducing a remote sensing, mapping, and NN background. © 2009 Springer Netherlands.