Neural networks in atmospheric remote sensing /
| Основен автор: | Blackwell, William J. |
|---|---|
| Други автори: | Chen, Frederick W. |
| Формат: | Електронна книга |
| Език: | English |
| Публикувано: |
[Boston] ; [London] :
Artech House,
[2009]
|
| Предмети: | |
| Онлайн достъп: |
http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=305433 |
| Подобни документи: |
Print version::
Neural networks in atmospheric remote sensing. |
Съдържание:
- ""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""
- ""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""
- ""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""
- ""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""
- ""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""