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    Synthetic Aperture Radar Polarimetry

    AvJakob J. van Zyl

    Inbunden, Engelska, 2011

    Del 2 i serien JPL Space Science and Technology Series

    1 552 kr

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    Beskrivning

    This book describes the application of polarimetric synthetic aperture radar to earth remote sensing based on research at the NASA Jet Propulsion Laboratory (JPL). This book synthesizes all current research to provide practical information for both the newcomer and the expert in radar polarimetry. The text offers a concise description of the mathematical fundamentals illustrated with many examples using SAR data, with a main focus on remote sensing of the earth. The book begins with basics of synthetic aperture radar to provide the basis for understanding how polarimetric SAR images are formed and gives an introduction to the fundamentals of radar polarimetry. It goes on to discuss more advanced polarimetric concepts that allow one to infer more information about the terrain being imaged. In order to analyze data quantitatively, the signals must be calibrated carefully, which the book addresses in a chapter summarizing the basic calibration algorithms. The book concludes with examples of applying polarimetric analysis to scattering from rough surfaces, to infer soil moisture from radar signals.

    Produktinformation

    • Utgivningsdatum:2011-12-16
    • Mått:164 x 243 x 22 mm
    • Vikt:662 g
    • Format:Inbunden
    • Språk:Engelska
    • Serie:JPL Space Science and Technology Series
    • Antal sidor:312
    • Förlag:John Wiley & Sons Inc
    • ISBN:9781118115114

    Utforska kategorier

    • Elektronik och kommunikationer inom Naturvetenskap och teknik

    Mer om författaren

    JAKOB van ZYL, PhD, has been with the NASA Jet Propulsion Laboratory since 1986. He has contributed to the design and development of many SAR systems, including SIR-C, SRTM, AIRSAR, TOPSAR, and GeoSAR. In 2010, he received the Distinguished Achievement Award from the Geoscience and Remote Sensing Society of the IEEE for his contributions to polarimatric SAR remote sensing. Dr. Jakob van Zyl is the associate director of Project Formulation and Strategy and NASA's Jet Propulsion Laboratory. Formerly, he was the director for JPL's Astronomy and Physics Directorate. YUNJIN KIM, PhD, has been with the NASA Jet Propulsion Laboratory and¿California Institute of Technology since 1989. He has contributed to the development of several radar systems, such as SIR-C, AIRSAR, GeoSAR, and SRTM. Currently, Dr. Kim is the Nuclear Spectroscopic Telescope Array (NuSTAR) project manager. He is the author of two book chapters, more than twenty peer-reviewed articles, and more than seventy conference publications.

    Recensioner i media

    “It is also an ideal reference for radar remote sensing researchers, engineers and practitioners in the aerospace industry.”  (Photogrammetric Engineering and Remote Sensing, 1 August 2013)

    Innehållsförteckning

    • Note From the Series Editor xi Foreword xiiiPreface xvAcknowledgments xviiAuthors xix1. Synthetic Aperture Radar (SAR) Imaging Basics 11.1 Basic Principles of Radar Imaging 21.2 Radar Resolution 61.3 Radar Equation 101.4 Real Aperture Radar 111.5 Synthetic Aperture Radar 131.6 Radar Image Artifacts and Noise 161.7 Summary 22References 222. Basic Principles of SAR Polarimetry 232.1 Polarization of Electromagnetic Waves 232.2 Mathematical Representations of Scatterers 272.3 Implementation of a Radar Polarimeter 322.4 Polarization Response 342.5 Optimum Polarizations 532.6 Contrast Enhancement 652.7 Summary 71References 713. Advanced Polarimetric Concepts 733.1 Vector-Matrix Duality of Scatterer Representation 733.2 Eigenvalue- and Eigenvector-Based Polarimetric Parameters 763.3 Decomposition of Polarimetric Scattering 883.4 Image Classification 1253.5 Polarimetric SAR Interferometry 1353.6 Summary 141References 1414. Polarimetric SAR Calibration 1454.1 Polarimetric Radar System Model 1454.2 Cross Talk Estimation and Removal 1524.3 Copolarized Channel Imbalance Calibration 1614.4 Absolute Radiometric Calibration 1664.5 Faraday Rotation 1774.6 Summary 179References 1805. Applications: Measurement of Surface Soil Moisture 1825.1 Surface Electrical and Geometrical Properties 1835.2 Scattering from Bare Rough Surfaces 1965.3 Example Bare Surface Soil Moisture Inversion Models 2015.4 Comparison of the Performance of Bare Surface Inversion Models 2115.5 Parameterizing Scattering Models 2165.6 Inverting the IEM Model 2225.7 Scattering from Vegetated Terrain 2255.8 Simulation Results 2395.9 Time Series Estimation of Soil Moisture 2525.10 Summary 257References 258AppendixesA. Tilted Small Perturbation Model Details 262B. Bistatic Scattering Matrix of a Cylinder with Arbitrary Orientation 267C. Nomenclature 276Index 279