: John A. Richards
: Remote Sensing with Imaging Radar
: Springer-Verlag
: 9783642020209
: 1
: CHF 135.30
:
: Elektronik, Elektrotechnik, Nachrichtentechnik
: English
: 361
: Wasserzeichen/DRM
: PC/MAC/eReader/Tablet
: PDF
This book is concerned with remote sensing based on the technology of imaging radar. It assumes no prior knowledge of radar on the part of the reader, commencing with a treatment of the essential concepts of microwave imaging and progressing through to the development of multipolarisation and interferometric radar, modes which underpin contemporary applications of the technology. The use of radar for imaging the earth's surface and its resources is not recent. Aircraft-based microwave systems were operating in the 1960s, ahead of optical systems that image in the visible and infrared regions of the spectrum. Optical remote sensing was given a strong impetus with the launch of the first of the Landsat series of satellites in the mid 1970s. Although the Seasat satellite launched in the same era (1978) carried an imaging radar, it operated only for about 12 months and there were not nearly so many microwave systems as optical platforms in service during the 1980s. As a result, the remote sensing community globally tended to develop strongly around optical imaging until Shuttle missions in the early to mid 1980s and free-flying imaging radar satellites in the early to mid 1990s became available, along with several sophisticated aircraft platforms. Since then, and particularly with the unique capabilities and flexibility of imaging radar, there has been an enormous surge of interest in microwave imaging technology. Unlike optical imaging, understanding the theoretical underpinnings of imaging radar can be challenging, particularly when new to the field.
Preface6
TABLE OF CONTENTS8
LIST OF SYMBOLS AND OPERATORS13
Operators and mathematical conventions19
CHAPTER 1 THE IMAGING RADAR SYSTEM20
1.1 Why Microwaves?20
1.2 Imaging with Microwaves20
1.3 Components of an Imaging Radar System22
1.4 Assumed Knowledge24
1.4.1 Complex Numbers25
1.4.2 Vectors and Matrices25
1.4.3 Differential Calculus25
1.5 Referencing and Footnotes25
1.6 A Critical Bibliography25
1.7 How this Book is Organised28
CHAPTER 2 THE RADIATION FRAMEWORK30
2.1 Energy Sources in Remote Sensing30
2.2 Wavelength Ranges used in Remote Sensing33
2.3 Total Available Energy34
2.4 Energy Available for Microwave Imaging36
2.5 Passive Microwave Remote Sensing38
2.6 The Atmosphere at Microwave Frequencies38
2.7 The Benefits of Radar Remote Sensing40
2.8 Looking at the Underlying Electromagnetic Fields41
2.9 The Concept of Near and Far Fields45
2.10 Polarisation47
2.11 The Jones Vector52
2.12 Circular Polarisation as a Basis Vector System55
2.13 The Stokes Parameters, the Stokes Vector and the Modified Stokes Vector57
2.14 Unpolarised and Partially Polarised Radiation59
2.15 The Poincaré Sphere61
2.16 Transmitting and Receiving Polarised Radiation63
2.17 Interference67
2.18 The Doppler Effect68
CHAPTER 3 THE TECHNOLOGY OF RADAR IMAGING72
PART A: THE SYSTEM72
3.1 Radar as a Remote Sensing Technology72
3.2 Range Resolution74
3.3 Pulse Compression Radar77
3.4 Resolution in the Along Track Direction80
3.5 Synthetic Aperture Radar (SAR)80
3.6 The Mathematical Basis for SAR81
3.7 Swath Width and Bounds on Pulse Repetition Frequency85
3.8 The Radar Resolution Cell87
3.9 ScanSAR87
3.10 Squint and the Spotlight Operating Mode90
PART B: THE TARGET94
3.11 The Radar Equation94
3.12 Theoretical Expression for Radar Cross Section96
3.13 The Radar Cross Section in dB96
3.14 Distributed Targets97
3.15 The Scattering Coefficient in dB98
3.16 Polarisation Dependence of the Scattering Coefficient99
3.17 The Scattering Matrix100
3.18 Target Vectors104
3.19 The Covariance and Coherency Matrices105
3.20 Measuring the Scattering Matrix108
3.21 Relating the Scattering Matrix to the Stokes Vector109
3.22 Polarisation Synthesis111
3.23 Compact Polarimetry122
3.24 Faraday Rotation125
CHAPTER 4 CORRECTING AND CALIBRATING RADAR IMAGERY128
4.1 Sources of Geometric Distortion128
4.1.1 Near Range Compressional Distortion128
4.1.2 Layover, Relief Displacement, Foreshortening and Shadowing130
4.1.3 Slant Range Imagery132
4.2 Geometric Correction of Radar Imagery134
4.2.1 Regions of Low Relief134
4.2.2 Passive Radar Calibrators135
4.2.3 Active Radar Calibrators (ARCs)136
4.2.4 Polarimetric Active Radar Calibrators (PARCs)137
4.2.5 Regions of High Relief137
4.3 Radiometric Correction of Radar Imagery139
4.3.1 Speckle139
4.3.2 Radar Image Products146
4.3.3 Speckle Filtering147
4.3.4 Antenna Induced Radiometric Distortion152
CHAPTER 5 SCATTERING FROM EARTH SURFACE FEATURES154
5.1 Introduction154
5.2 Common Scattering Mechanisms154
5.3 Surface Scattering155
5.3.1 Smooth Surfaces155
5.3.2 Rough Surfaces158
5.3.3 Penetration into Surface Materials167
5.4 Volume Scattering172
5.4.1 Modelling Volume Scattering172
5.4.2 Depolarisation in Volume Scattering177
5.4.3 Extinction in Volume Scattering178
5.5 Scattering from Hard Targets179
5.5.1 Facet Scattering180
5.5.2 Dihedral Corner Reflector Behaviour181
5.5.3 Metallic and Resonant Elements186
5.5.4 Bragg Scattering189
5.5.5 The Cardinal Effect190
5.6 Composite Scatterers191
5.7 Sea Surface Scattering191
5.8 Internal (Ocean) Waves197
5.9 Sea Ice Scattering197
CHAPTER 6 INTERFEROMETRIC AND TOMOGRAPHIC SAR200
6.1 Introduction200
6.2 The Importance of Phase200
6.3 A Radar Interferometer - InSAR202
6.4 Creating the Interferometric Image204
6.5 Correcting for Flat Earth Phase Variations205
6.6 The Problem with Phase Angle206
6.7 Phase Unwrapping208
6.8 An Inclined Baseline209
6.9 Standard and Ping Pong Modes of Operation210
6.10 Types of SAR Interferometry211
6.11 The Concept of Critical Baseline213
6.12 Decorrelation215
6.13 Detecting Topographic Change: Along Track Interferometry217
6.14 Polarimetric Interferometric SAR (PolInSAR)221
6.14.1 Fundamental Concepts221
6.14.2 The T6 Coherency Matrix225
6.14.3 Maximising Coherence226
6.14.4 The Plot of Complex Coherence227
6.15 Tomographic SAR228
6.15.1 The Aperture Synthesis Approach228
6.15.2 The Fourier Transformation Approach to Vertical Resolution234
6.15.3 Unevenly Spaced Fli