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Neural Networks in Atmospheric Remote Sensing

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Synopses & Reviews

Book News Annotation:

Blackwell (senior technical staff at the Massachusetts Institute of Technology's Lincoln Laboratory) and Chen (senior engineer at Signal Systems Corporation) present an applications-oriented treatment of neural network methodologies for use in atmospheric remote sensing. Their focus is on the retrieval of atmospheric parameters, such as the Earth's temperature, water vapor profiles, and precipitation rate, but the methodologies can also be applied to other problems where function approximation is required. They begin with simple, theoretical examples demonstrating how performance is affected by basic neural network attributes such as model selection, initialization, and training methodology and then build on those to describe applications common in atmospheric remote sensing. The examples are often accompanied by MATLAB software codes, available on the accompanying CD-ROM, which can be used for larger and more complex problems. Annotation ©2009 Book News, Inc., Portland, OR (booknews.com)

Synopsis:

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.

Product Details

ISBN:
9781596933729
Author:
Blackwell, William J.
Publisher:
Artech House Publishers
Author:
Staelin, David H.
Author:
Chen, Frederick W.
Subject:
Remote Sensing & Geographic Information Systems
Subject:
Neural Networks
Subject:
Science Reference-Technology
Series:
Artech House Remote Sensing Library
Publication Date:
20090431
Binding:
Hardcover
Language:
English
Illustrations:
Y
Pages:
215
Dimensions:
9.24x6.36x.69 in. 1.01 lbs.

Related Subjects

Computers and Internet » Artificial Intelligence » General
Computers and Internet » Networking » General
Reference » Science Reference » Technology
Science and Mathematics » Electricity » General Electronics

Neural Networks in Atmospheric Remote Sensing New Hardcover
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Product details 215 pages Artech House Publishers - English 9781596933729 Reviews:
"Synopsis" by , 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.
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