Neural Networks in Atmospheric Remote Sensing
Author:   William Blackwell ,  Frederick Chen ,  David H. Staelin
Publisher:   Artech House Publishers
Edition:   Unabridged edition
ISBN:  

9781596933729


Pages:   234
Publication Date:   30 June 2009
Format:   Hardback
Availability:   In Print   Availability explained
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Neural Networks in Atmospheric Remote Sensing


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Author:   William Blackwell ,  Frederick Chen ,  David H. Staelin
Publisher:   Artech House Publishers
Imprint:   Artech House Publishers
Edition:   Unabridged edition
Dimensions:   Width: 16.20cm , Height: 1.80cm , Length: 23.50cm
Weight:   0.458kg
ISBN:  

9781596933729


ISBN 10:   1596933720
Pages:   234
Publication Date:   30 June 2009
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Physical Background of Atmospheric Remote Sensing. An Overview of Inversion Problems in Atmospheric Remote Sensing. Signal Processing/Data Representation. Introduction of Neural Networks/Multilayer Perceptrons. Neural Networks Model Selection, Initialization, and Training. Preprocessing and Postprocessing of Atmospheric Data. Evaluation and Validation of Neural Network Performance. Retrieval of Precipitation from Passive Spaceborne Microwave Observations.

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Author Information

William J. Blackwell is on the technical staff at the MIT Lincoln Laboratory and is currently a science team member involved with atmospheric sounding systems aboard NPOESS and NASA EOS/NPP Missions. Frederick W. Chen was most recently a technical staff member at the MIT Lincoln Laboratory, where he worked on problems in satellite-based atmospheric remote sensing using microwave and infrared data. David H. Staelin is a professor of electrical engineering in the Research Laboratory of Electronics at MIT.

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