Neural Network Applications to Solve Forward and Inverse Problems in Atmospheric and Oceanic Satellite Remote Sensing

Vladimir M. Krasnopolsky (*) Science Application International Company at Environmental Modeling Center, National Centers for Environmental Prediction, National Oceanic and Atmospheric Administration, Camp Springs, Maryland, USA Earth System Science Interdisciplinary Center, University of Maryland, EMC/NCEP/NOAA, 5200 Auth Rd., Camp Springs, MD 20746, USA Phone: 301-763-8000 ext. 7262; fax 301-763-8545; email: vladimir.krasnopolsky@noaa.gov 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.

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