LEADER 06182nam 2200733 a 450 001 9910139579703321 005 20200520144314.0 010 $a1-282-24257-1 010 $a9786613813695 010 $a1-118-11609-7 010 $a1-118-11610-0 010 $a1-118-11607-0 035 $a(CKB)2550000000056301 035 $a(EBL)693740 035 $a(SSID)ssj0000565407 035 $a(PQKBManifestationID)11345514 035 $a(PQKBTitleCode)TC0000565407 035 $a(PQKBWorkID)10532790 035 $a(PQKB)11230099 035 $a(Au-PeEL)EBL693740 035 $a(CaPaEBR)ebr10504137 035 $a(CaONFJC)MIL381369 035 $a(CaSebORM)9781118116098 035 $a(MiAaPQ)EBC693740 035 $a(OCoLC)761321881 035 $a(PPN)170024733 035 $a(EXLCZ)992550000000056301 100 $a20110725d2011 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aSynthetic aperture radar polarimetry$b[electronic resource] /$fJakob van Zyl, Yunjin Kim 205 $a1st ed. 210 $aHoboken, N.J. $cWiley$d2011 215 $a1 online resource (334 p.) 225 1 $aJPL space science and technology series ;$v2 300 $aDescription based upon print version of record. 311 $a1-118-11511-2 320 $aIncludes bibliographical references and index. 327 $aSYNTHETIC APERTURERADAR POLARIMETRY; CONTENTS; NOTE FROM THE SERIES EDITOR; FOREWORD; PREFACE; ACKNOWLEDGMENTS; AUTHORS; 1 SYNTHETIC APERTURE RADAR (SAR) IMAGING BASICS; 1.1 Basic Principles of Radar Imaging; 1.2 Radar Resolution; 1.3 Radar Equation; 1.4 Real Aperture Radar; 1.5 Synthetic Aperture Radar; 1.6 Radar Image Artifacts and Noise; 1.6.1 Range and Azimuth Ambiguities; 1.6.2 Geometric Effects and Projections; 1.6.3 Signal Fading and Speckle; 1.7 Summary; References; 2 BASIC PRINCIPLES OF SAR POLARIMETRY; 2.1 Polarization of Electromagnetic Waves 327 $a2.2 Mathematical Representations of Scatterers2.3 Implementation of a Radar Polarimeter; 2.4 Polarization Response; 2.5 Optimum Polarizations; 2.5.1 General (Bistatic) Case; 2.5.2 Backscatter (Monostatic) Case; 2.5.3 Special Case: Single Scatterer in Backscatter (Monostatic) Case; 2.5.4 Special Case: Multiple Scatterers with Reflection Symmetry; 2.5.5 A Numerical Example; 2.6 Contrast Enhancement; 2.6.1 Numerical Example; 2.6.2 Image Example; 2.7 Summary; References; 3 ADVANCED POLARIMETRIC CONCEPTS; 3.1 Vector-Matrix Duality of Scatterer Representation 327 $a3.2 Eigenvalue- and Eigenvector-Based Polarimetric Parameters3.2.1 Parameters Used to Describe Randomness in Scattering; 3.2.2 Alpha Angle; 3.3 Decomposition of Polarimetric Scattering; 3.3.1 Scattering Decomposition in the Incoherent Case Using Orthonormal Bases; 3.3.2 Model-Based Scattering Decomposition in the Incoherent Case; 3.4 Image Classification; 3.4.1 Supervised Classification; 3.4.2 Physics-Based Unsupervised Classification; 3.4.3 Combined Unsupervised and Bayes Classification Algorithms; 3.5 Polarimetric SAR Interferometry; 3.6 Summary; References; 4 POLARIMETRIC SAR CALIBRATION 327 $a4.1 Polarimetric Radar System Model4.2 Cross Talk Estimation and Removal; 4.3 Copolarized Channel Imbalance Calibration; 4.4 Absolute Radiometric Calibration; 4.4.1 Effect of Topography on Scattering Area; 4.4.2 Effect of Topography on Antenna Pattern Corrections; 4.4.3 AIRSAR Image Example; 4.5 Faraday Rotation; 4.6 Summary; References; 5 APPLICATIONS: MEASUREMENT OF SURFACE SOIL MOISTURE; 5.1 Surface Electrical and Geometrical Properties; 5.1.1 Geometrical Properties; 5.1.2 Electrical Properties; 5.1.3 Penetration Depth; 5.1.4 Soil Moisture Profile; 5.2 Scattering from Bare Rough Surfaces 327 $a5.2.1 First-Order Small-Perturbation Model5.2.2 The Integral Equation Model; 5.3 Example Bare Surface Soil Moisture Inversion Models; 5.3.1 The First-Order Small-Perturbation Model; 5.3.2 Algorithm Proposed by Oh et al. (1992); 5.3.3 Algorithm Proposed by Dubois et al.; 5.3.4 Algorithm Proposed by Shi et al. (1997); 5.4 Comparison of the Performance of Bare Surface Inversion Models; 5.5 Parameterizing Scattering Models; 5.6 Inverting the IEM Model; 5.6.1 Using a Data Cube; 5.7 Scattering from Vegetated Terrain; 5.7.1 Scattering from the Vegetation Layer (Scattering Path 1) 327 $a5.7.2 Backscatter from the Underlying Ground Surface (Scattering Path 4) 330 $a"This book describes the application of polarimetric synthetic aperture radar to Earth remote sensing based on research at the NASA Jet Propulsion Laboratory (JPL). This book synthesizes all current research to provide practical information for both the newcomer and the expert in radar polarimetry. The text offers a concise description of the mathematical fundamentals illustrated with many examples using SAR data, with a main focus on remote sensing of the Earth.The book begins with basics of synthetic aperture radar to provide the basis for understanding how polarimetric SAR images are formed and gives an introduction to the fundamentals of radar polarimetry. It goes on to discuss more advanced polarimetric concepts that allow one to infer more information about the terrain being imaged. In order to analyze data quantitatively, the signals must be calibrated carefully, which the book addresses in a chapter summarizing the basic calibration algorithms. The book concludes with examples of applying polarimetric analysis to scattering from rough surfaces, to infer soil moisture from radar signals"--$cProvided by publisher. 410 0$aJPL space science and technology series ;$v2. 606 $aSynthetic aperture radar 606 $aPolarimetric remote sensing 615 0$aSynthetic aperture radar. 615 0$aPolarimetric remote sensing. 676 $a621.3848/5 686 $aTEC036000$2bisacsh 700 $aVan Zyl$b Jakob$f1967-$0963114 701 $aKim$b Yun-jin$0963115 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910139579703321 996 $aSynthetic aperture radar polarimetry$92183711 997 $aUNINA