| Description |
1 online resource (xv, 215 pages) : illustrations |
| Physical Medium |
polychrome |
| Description |
text file |
| Bibliography |
Includes bibliographical references and index. |
| Contents |
""Neural Networks in Atmospheric Remote Sensing""; ""Contents""; ""Preface""; ""1 Introduction""; ""1.1 Present Challenges""; ""1.2 Solutions Based on Neural Networks""; ""1.3 Mathematical Notation""; ""References""; ""2 Physical Background of Atmospheric Remote Sensing""; ""2.1 Overview of the Composition and Thermal Structure of the Earth�s Atmosphere""; ""2.1.1 Chemical Composition of the Atmosphere""; ""2.1.2 Vertical Distribution of Pressure and Density""; ""2.1.3 Thermal Structure of the Atmosphere""; ""2.1.4 Cloud Microphysics""; ""2.2 Electromagnetic Wave Propagation"" |
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""2.2.1 Maxwell�s Equations and the Wave Equation""""2.2.2 Polarization""; ""2.2.3 Reflection and Transmission at a Planar Boundary""; ""2.3 Absorption of Electromagnetic Waves by Atmospheric Gases""; ""2.3.1 Mechanisms of Molecular Absorption""; ""2.3.2 Line Shapes""; ""2.3.3 Absorption Coefficients and Transmission Functions""; ""2.3.4 The Atmospheric Absorption Spectra""; ""2.4 Scattering of Electromagnetic Waves by Atmospheric Particles""; ""2.4.1 Mie Scattering""; ""2.4.2 The Rayleigh Approximation""; ""2.4.3 Comparison of Scattering and Absorption byHydrometeors"" |
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""2.5 Radiative Transfer in a Nonscattering Planar-Stratified Atmosphere""""2.5.1 Equilibrium Radiation: Planck and Kirchhoff�s Laws""; ""2.5.2 Radiative Transfer Due to Emission and Absorption""; ""2.5.3 Integral Form of the Radiative Transfer Equation""; ""2.5.4 Weighting Function""; ""2.6 Passive Spectrometer Systems""; ""2.6.1 Optical Spectrometers""; ""2.6.2 Microwave Spectrometers""; ""2.7 Summary""; ""References""; ""3 An Overview of Inversion Problems in Atmospheric Remote Sensing""; ""3.1 Mathematical Notation""; ""3.2 Optimality"" |
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""3.3 Methods That Exploit Statistical Dependence""""3.3.1 The Bayesian Approach""; ""3.3.2 Linear and Nonlinear Regression Methods""; ""3.4 Physical Inversion Methods""; ""3.4.1 The Linear Case""; ""3.4.2 The Nonlinear Case""; ""3.5 Hybrid Inversion Methods""; ""3.5.1 Improved Retrieval Accuracy""; ""3.5.2 Improved Retrieval Efficiency""; ""3.6 Error Analysis""; ""3.6.1 Analytical Analysis""; ""3.6.2 Perturbation Analysis""; ""3.7 Summary""; ""References""; ""4 Signal Processing and Data Representation""; ""4.1 Analysis of the Information Content of Hyperspectral Data"" |
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""4.1.1 Shannon Information Content""""4.1.2 Degrees of Freedom""; ""4.2 Principal Components Analysis (PCA)""; ""4.2.1 Nonlinear PCA""; ""4.2.2 Linear PCA""; ""4.2.3 Principal Components Transforms""; ""4.2.4 The Projected PC Transform""; ""4.2.5 Evaluation of Radiance Compression Performance Using Two Different Metrics""; ""4.3 Representation of Nonlinear Features""; ""4.4 Summary""; ""References""; ""5 Introduction to Multilayer Perceptron Neural Networks""; ""5.1 A Brief Overview of Machine Learning""; ""5.1.1 Supervised and Unsupervised Learning""; ""5.1.2 Classification and Regression"" |
| Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
| Subject |
Neural networks (Computer science)
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Neural networks (Computer science) |
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Atmosphere -- Remote sensing.
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Atmosphere -- Remote sensing. |
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Atmosphere. |
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Microwave remote sensing.
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Microwave remote sensing. |
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Thermography.
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Thermography. |
| Genre/Form |
Electronic books.
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Electronic books.
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| Added Author |
Chen, Frederick W.
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| Other Form: |
Print version: Blackwell, William J. Neural networks in atmospheric remote sensing. Boston, Mass. : Artech House, ©2009 9781596933729 (DLC) 2009281340 (OCoLC)298184765 |
| ISBN |
9781596933736 (electronic book) |
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1596933739 (electronic book) |
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9781596933729 (print) |
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1596933720 (print) |
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