Description

Book Synopsis
Dedicated to remote sensing images, from their acquisition to their use in various applications, this book covers the global lifecycle of images, including sensors and acquisition systems, applications such as movement monitoring or data assimilation, and image and data processing.
It is organized in three main parts. The first part presents technological information about remote sensing (choice of satellite orbit and sensors) and elements of physics related to sensing (optics and microwave propagation). The second part presents image processing algorithms and their specificities for radar or optical, multi and hyper-spectral images. The final part is devoted to applications: change detection and analysis of time series, elevation measurement, displacement measurement and data assimilation.
Offering a comprehensive survey of the domain of remote sensing imagery with a multi-disciplinary approach, this book is suitable for graduate students and engineers, with backgrounds either in computer science and applied math (signal and image processing) or geo-physics.

About the Authors

Florence Tupin is Professor at Telecom ParisTech, France. Her research interests include remote sensing imagery, image analysis and interpretation, three-dimensional reconstruction, and synthetic aperture radar, especially for urban remote sensing applications.
Jordi Inglada works at the Centre National d’Études Spatiales (French Space Agency), Toulouse, France, in the field of remote sensing image processing at the CESBIO laboratory. He is in charge of the development of image processing algorithms for the operational exploitation of Earth observation images, mainly in the field of multi-temporal image analysis for land use and cover change.
Jean-Marie Nicolas is Professor at Telecom ParisTech in the Signal and Imaging department. His research interests include the modeling and processing of synthetic aperture radar images.



Table of Contents

Preface xiii

Part 1. Systems, Sensors and Acquisitions 1

Chapter 1. Systems and Constraints 3
Jean-Marie Nicolas

Chapter 2. Image Geometry and Registration 33
Jean-Marie Nicolas and Jordi Inglada

Chapter 3. The Physics of Optical Remote Sensing 53
Olivier Hagolle

Chapter 4. The Physics of Radar Measurement 83
Jean-Claude Souyris

Part 2. Physics and Data Processing 123

Chapter 5. Image Processing Techniques for Remote Sensing 125
Florence Tupin, Jordi Inglada and Grégoire Mercier

Chapter 6. Passive Optical Data Processing 155
Devis Tuia

Chapter 7. Models and Processing of Radar Signals 181
Florence Tupin, Jean-Marie Nicolas and Jean-Claude Souyris

Part 3. Applications: Measures, Extraction, Combination and Information Fusion 203

Chapter 8. Analysis of Multi-Temporal Series and Change Detection 205
Grégoire Mercier and Florence Tupin

Chapter 9. Elevation Measurements 223
Michel Roux, Olivier De Joinville, Florence Tupin and Jean-Marie Nicolas

Chapter 10. Displacement Measurements 251
Yajing Yan, Virginie Pinel, Flavien Vernier and Emmanuel Trouvé

Chapter 11. Data Assimilation for the Monitoring of Continental Surfaces 283
Lionel Jarlan and Gilles Boulet

Bibliography 321

List of Authors 347

Index 349

Remote Sensing Imagery

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    A Hardback by Florence Tupin, Jordi Inglada, Jean-Marie Nicolas

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      Publisher: ISTE Ltd and John Wiley & Sons Inc
      Publication Date: 31/01/2014
      ISBN13: 9781848215085, 978-1848215085
      ISBN10: 1848215088
      Also in:
      Applied optics

      Description

      Book Synopsis
      Dedicated to remote sensing images, from their acquisition to their use in various applications, this book covers the global lifecycle of images, including sensors and acquisition systems, applications such as movement monitoring or data assimilation, and image and data processing.
      It is organized in three main parts. The first part presents technological information about remote sensing (choice of satellite orbit and sensors) and elements of physics related to sensing (optics and microwave propagation). The second part presents image processing algorithms and their specificities for radar or optical, multi and hyper-spectral images. The final part is devoted to applications: change detection and analysis of time series, elevation measurement, displacement measurement and data assimilation.
      Offering a comprehensive survey of the domain of remote sensing imagery with a multi-disciplinary approach, this book is suitable for graduate students and engineers, with backgrounds either in computer science and applied math (signal and image processing) or geo-physics.

      About the Authors

      Florence Tupin is Professor at Telecom ParisTech, France. Her research interests include remote sensing imagery, image analysis and interpretation, three-dimensional reconstruction, and synthetic aperture radar, especially for urban remote sensing applications.
      Jordi Inglada works at the Centre National d’Études Spatiales (French Space Agency), Toulouse, France, in the field of remote sensing image processing at the CESBIO laboratory. He is in charge of the development of image processing algorithms for the operational exploitation of Earth observation images, mainly in the field of multi-temporal image analysis for land use and cover change.
      Jean-Marie Nicolas is Professor at Telecom ParisTech in the Signal and Imaging department. His research interests include the modeling and processing of synthetic aperture radar images.



      Table of Contents

      Preface xiii

      Part 1. Systems, Sensors and Acquisitions 1

      Chapter 1. Systems and Constraints 3
      Jean-Marie Nicolas

      Chapter 2. Image Geometry and Registration 33
      Jean-Marie Nicolas and Jordi Inglada

      Chapter 3. The Physics of Optical Remote Sensing 53
      Olivier Hagolle

      Chapter 4. The Physics of Radar Measurement 83
      Jean-Claude Souyris

      Part 2. Physics and Data Processing 123

      Chapter 5. Image Processing Techniques for Remote Sensing 125
      Florence Tupin, Jordi Inglada and Grégoire Mercier

      Chapter 6. Passive Optical Data Processing 155
      Devis Tuia

      Chapter 7. Models and Processing of Radar Signals 181
      Florence Tupin, Jean-Marie Nicolas and Jean-Claude Souyris

      Part 3. Applications: Measures, Extraction, Combination and Information Fusion 203

      Chapter 8. Analysis of Multi-Temporal Series and Change Detection 205
      Grégoire Mercier and Florence Tupin

      Chapter 9. Elevation Measurements 223
      Michel Roux, Olivier De Joinville, Florence Tupin and Jean-Marie Nicolas

      Chapter 10. Displacement Measurements 251
      Yajing Yan, Virginie Pinel, Flavien Vernier and Emmanuel Trouvé

      Chapter 11. Data Assimilation for the Monitoring of Continental Surfaces 283
      Lionel Jarlan and Gilles Boulet

      Bibliography 321

      List of Authors 347

      Index 349

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