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| Note From The Series Editor | |
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| Foreword | |
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| Preface | |
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| Acknowledgments | |
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| Authors | |
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| Synthetic Aperture Radar (Sar) Imaging Basics | |
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| Basic Principles Of Radar Imaging | |
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| Radar Resolution | |
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| Radar Equation | |
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| Real Aperture Radar | |
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| Synthetic Aperture Radar | |
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| Radar Image Artifacts And Noise | |
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| Range And Azimuth Ambiguities | |
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| Geometric Effects And Projections | |
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| Signal Fading And Speckle | |
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| Summary | |
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| Basic Principles Of Sar Polarimetry | |
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| Polarization of Electromagnetic Waves | |
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| Mathematical Representations of Scatterers | |
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| Implementation of a Radar Polarimeter | |
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| Polarization Response | |
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| Optimum Polarizations | |
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| General (Bistatic) Case | |
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| Backscatter (Monostatic) Case | |
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| Special Case: Single Scatterer in Backscatter (Monostatic) Case | |
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| Special Case: Multiple Scatterers with Reflection Symmetry | |
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| A Numerical Example | |
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| Contrast Enhancement | |
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| Numerical Example | |
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| Image Example | |
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| Summary | |
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| Advanced Polarimetric Concepts | |
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| Vector-Matrix Duality of Scatterer Representation | |
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| Eigenvalue- and Eigenvector-Based Polarimetric Parameters | |
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| Parameters Used to Describe Randomness in Scattering | |
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| Alpha Angle | |
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| Decomposition of Polarimetric Scattering | |
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| Scattering Decomposition in the Incoherent Case Using Orthonormal Bases | |
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| Model-Based Scattering Decomposition in the Incoherent Case | |
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| Image Classification | |
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| Supervised Classification | |
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| Physics-Based Unsupervised Classification | |
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| Combined Unsupervised and Bayes Classification Algorithms | |
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| Polarimetric SAR Interferometry | |
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| Summary | |
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| Polarimetric Sar Calibration | |
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| Polarimetric Radar System Model | |
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| Cross Talk Estimation and Removal | |
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| Copolarized Channel Imbalance Calibration | |
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| Absolute Radiometric Calibration | |
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| Effect of Topography on Scattering Area | |
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| Effect of Topography on Antenna Pattern Corrections | |
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| AIRSAR Image Example | |
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| Faraday Rotation | |
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| Summary | |
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| Applications: Measurement Of Surface Soil Moisture | |
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| Surface Electrical and Geometrical Properties | |
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| Geometrical Properties | |
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| Electrical Properties | |
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| Penetration Depth | |
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| Soil Moisture Profile | |
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| Scattering from Bare Rough Surfaces | |
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| First-Order Small-Perturbation Model | |
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| The Integral Equation Model | |
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| Example Bare Surface Soil Moisture Inversion Models | |
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| The First-Order Small-Perturbation Model | |
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| Algorithm Proposed by Oh et al. (1992) | |
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| Algorithm Proposed by Dubois et al. | |
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| Algorithm Proposed by Shi etal. (1997) | |
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| Comparison of the Performance of Bare Surface Inversion Models | |
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| Parameterizing Scattering Models | |
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| Inverting the IEM Model | |
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| Scattering from Vegetated Terrain | |
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| Scattering from the Vegetation Layer (Scattering Path 1) | |
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| Backscatter from the Underlying Ground Surface (Scattering Path 4) | |
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| Double-Reflection Scattering (Scattering Paths 2 and 3) | |
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| Simulation Results | |
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| Effect of the Angle of Incidence | |
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| Effect of Cylinder Radius | |
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| Effect of Cylinder Moisture | |
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| Radar Vegetation Index | |
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| Effect of Soil Moisture | |
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| Inverting for Soil Moisture: the Data Cube | |
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| Time Series Estimation of Soil Moisture | |
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| Summary | |
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| Appendixes | |
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| Tilted Small Perturbation Model Details | |
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| Bistatic Scattering Matrix Of A Cylinder With Arbitrary Orientation | |
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| Nomenclature | |
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| Index | |