Image Registration for Remote Sensing

doi:10.1017/CBO9780511777684

Image registration employs digital image processing in order to bring two or more digital images into precise alignment for analysis and comparison. Accurate registration algorithms are essential for creating mosaics of satellite images and tracking changes on the planet's surface over time. Bringing together invited contributions from thirty-six distinguished researchers, the book presents a detailed overview of current research and practice in the application of image registration to remote sensing imagery. Chapters cover the problem definition, theoretical issues in accuracy and efficiency, fundamental algorithms, and real-world case studies of image registration software applied to imagery from operational satellite systems. This book provides a comprehensive and practical overview for Earth and space scientists, presents image processing researchers with a summary of current research, and can be used for specialised graduate courses.

‘The book explains the main image-registration issues involved in remote sensing in a comprehensive, convincing, and well-written manner. The coverage of the topic is excellent, and experimental examples with simulated and real data are also shown in most chapters. The reading is accessible to both specialists and nonspecialists, including students. Stimulating discussions on scientific and applicative challenges, possible solution strategies, and the accuracy, optimality, and efficiency of such strategies can be found throughout the book and make it an outstanding treatise that can be extremely interesting to a wide audience.’

Source: IEEE Geoscience and Remote Sensing Society Newsletter

'This is an important reference book for all remote-sensing professionals as well as for advanced level geophysical data processing personnel in academia and in industry.'

Wooil M. Moon Source: The Leading Edge

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Contents

Frontmatter
pp i-vi
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Contents
pp vii-viii
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List of contributors
pp ix-xi
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Foreword by Jón A. Benediktsson
pp xii-xiii
- By Jón Atli Benediktsson, University of Iceland
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Acknowledgements
pp xiv-xiv
- By Jacqueline Le Moigne, NASA Goddard Space Flight Center, Maryland, Nathan S. Netanyahu, University of Maryland, Maryland, Roger D. Eastman, Loyola University, Maryland
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PART I - The Importance of Image Registration for Remote Sensing
pp 1-2
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1 - Introduction
pp 3-23
- By Jacqueline Le Moigne, NASA Goddard Space Flight Center, Maryland, Nathan S. Netanyahu, University of Maryland, Maryland, Roger D. Eastman, Loyola University, Maryland
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2 - Influence of image registration on validation efforts
pp 24-34
- By Bin Tan, Earth Resources Technology Inc., Maryland, Curtis E. Woodcock, Boston University, Massachussets
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3 - Survey of image registration methods
pp 35-76
- By Roger D. Eastman, Loyola University, Maryland, Nathan S. Netanyahu, University of Maryland, Maryland, Jacqueline Le Moigne, NASA Goddard Space Flight Center, Maryland
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PART II - Similarity Metrics for Image Registration
pp 77-78
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4 - Fast correlation and phase correlation
pp 79-111
- By Harold S. Stone, NEC Research Laboratory Retiree, New Jersey
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5 - Matched filtering techniques
pp 112-130
- By Qin-Sheng Chen, Flower Hospital, Ohio
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6 - Image registration using mutual information
pp 131-150
- By Arlene A. Cole-Rhodes, Morgan State University, Maryland, Pramod K. Varshney, Syracuse University, New York
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PART III - Feature Matching and Strategies for Image Registration
pp 151-152
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7 - Registration of multiview images
pp 153-178
- By A. Ardeshir Goshtasby, Wright State University, Ohio
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8 - New approaches to robust, point-based image registration
pp 179-199
- By David M. Mount, University of Maryland, Maryland, Nathan S. Netanyahu, University of Maryland, Maryland, San Ratanasanya, University of Maryland, Maryland
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9 - Condition theory for image registration and post-registration error estimation
pp 200-214
- By C. S. Kenney, University of California, California, B. S. Manjunath, University of California, California, M. Zuliani, University of California, California, K. Solanki, University of California, California
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10 - Feature-based image to image registration
pp 215-239
- By Venu Madhav Govindu, Indian Institute of Science, India, Rama Chellappa, University of Maryland, Maryland
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11 - On the use of wavelets for image registration
pp 240-264
- By Jacqueline Le Moigne, NASA Goddard Space Flight Center, Maryland, Ilya Zavorin, University of Maryland, Maryland, Harold Stone, NEC Research Laboratory Retiree, New Jersey
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12 - Gradient descent approaches to image registration
pp 265-275
- By Arlene A. Cole-Rhodes, Morgan State University, Maryland, Roger D. Eastman, Loyola University, Maryland
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13 - Bounding the performance of image registration
pp 276-290
- By Min Xu, Syracuse University, New York, Pramod K. Varshney, Syracuse University, New York
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PART IV - Applications and Operational Systems
pp 291-292
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14 - Multitemporal and multisensor image registration
pp 293-338
- By Jacqueline Le Moigne, NASA Goddard Space Flight Center, Maryland, Arlene A. Cole-Rhodes, Morgan State University, Maryland, Roger D. Eastman, Loyola University, Maryland, Nathan S. Netanyahu, University of Maryland, Maryland, Harold S. Stone, NEC Research Laboratory Retiree, New Jersey, Ilya Zavorin, University of Maryland, Maryland, Jeffrey T. Morisette, NASA Goddard Space Flight Center, Maryland
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15 - Georegistration of meteorological images
pp 339-354
- By James L. Carr, Carr Astronautics, Washington, DC
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16 - Challenges, solutions, and applications of accurate multiangle image registration: Lessons learned from MISR
pp 355-382
- By Veljko M. Jovanovic, California Institute of Technology, California, David J. Diner, California Institute of Technology, California, Roger Davies, The University of Auckland, New Zealand
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17 - Automated AVHRR image navigation
pp 383-399
- By William J. Emery, University of Colorado, Colorado, R. Ian Crocker, University of Colorado, Colorado, Daniel G. Baldwin, University of Colorado at Boulder, Colorado
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18 - Landsat image geocorrection and registration
pp 400-414
- By James C. Storey, USGS Center for Earth Resources Observation and Science (EROS), South Dakota
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19 - Automatic and precise orthorectification of SPOT images
pp 415-425
- By Simon Baillarin, CNES (Centre National d'Etudes Spatiales), France, Aurélie Bouillon, IGN (Institut Géographique National), France, Marc Bernard, Spot Image, France
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20 - Geometry of the VEGETATION sensor
pp 426-436
- By Sylvia Sylvander, CNES (Centre National d' Etudes Spatiales), France
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21 - Accurate MODIS global geolocation through automated ground control image matching
pp 437-455
- By Robert E. Wolfe, NASA Goddard Space Flight Center, Maryland, Masahiro Nishihama, NASA Goddard Space Flight Center, Maryland
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