Neural Networks in Atmospheric Remote Sensing

Download or read book Neural Networks in Atmospheric Remote Sensing written by William J. Blackwell and published by Artech House. This book was released on 2009 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: This authoritative reference offers you a comprehensive understanding of the underpinnings and practical applications of artificial neural networks and their use in the retrieval of geophysical parameters. You find expert guidance on the development and evaluation of neural network algorithms that process data from a new generation of hyperspectral sensors. The book provides clear explanations of the mathematical and physical foundations of remote sensing systems, including radiative transfer and propagation theory, sensor technologies, and inversion and estimation approaches. You discover how to use neural networks to approximate remote sensing inverse functions with emphasis on model selection, preprocessing, initialization, training, and performance evaluation.