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Image Registration for Remote Sensing


  • 139 b/w illus. 23 colour illus. 37 tables
  • Page extent: 513 pages
  • Size: 247 x 174 mm
  • Weight: 1.16 kg

Library of Congress

  • Dewey number: 621.36/78
  • Dewey version: 22
  • LC Classification: TA1632 .I4826 2011
  • LC Subject headings:
    • Image registration
    • Image analysis
    • Remote sensing
    • Image processing--Digital techniques
    • TECHNOLOGY & ENGINEERING / Remote Sensing & Geographic Information Systems--bisacsh

Library of Congress Record

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 (ISBN-13: 9780521516112)

Manufactured on demand: supplied direct from the printer

$178.95 (C)

Image registration is a digital image processing discipline that studies how 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 36 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 specialized graduate courses.


Foreword Jon A. Benediktsson; Part I. The Importance of Image Registration for Remote Sensing: 1. Introduction Jacqueline Le Moigne, Nathan S. Netanyahu and Roger D. Eastman; 2. Influence of image registration on validation efforts Bin Tan and Curtis E. Woodcock; 3. Survey of image registration methods Roger D. Eastman, Nathan S. Netanyahu and Jacqueline Le Moigne; Part II. Similarity Metrics for Image Registration: 4. Fast correlation and phase correlation Harold S. Stone; 5. Matched filtering techniques Qin-Sheng Chen; 6. Image registration using mutual information Arlene A. Cole-Rhodes and Pramod K. Varshney; Part III. Feature Matching and Strategies for Image Registration: 7. Registration of multiview images A. Ardeshir Goshtasby; 8. New approaches to robust, point-based image registration David M. Mount, Nathan S. Netanyahu and San Ratanasanya; 9. Condition theory for image registration and post-registration error estimation Charles S. Kenney, B. S. Manjunath, Marco Zuliani and Kaushal Solanki; 10. Feature-based image to image registration Venu M. Govindu and Rama Chellappa; 11. On the use of wavelets for image registration Jacqueline Le Moigne, Ilya Zavorin and Harold S. Stone; 12. Gradient descent approaches to image registration Arlene A. Cole-Rhodes and Roger D. Eastman; 13. Bounding the performance of image registration Min Xu and Parmod K. Varshney; Part IV. Applications and Operational Systems: 14. Multi-temporal and multi-sensor image registration Jacqueline Le Moigne, Arlene A. Cole-Rhodes, Roger D. Eastman, Nathan S. Netanyahu, Harold S. Stone, Ilya Zavorin and Jeffrey T. Morisette; 15. Georegistration of meteorological images James L. Carr; 16. Challenges, solutions, and applications of accurate multi-angle image registration: lessons learned from MISR Veljko M. Jovanovic, David J. Diner and Roger Davies; 17. Automated AVHRR image navigation William J. Emery, R. Ian Crocker and Daniel G. Baldwin; 18. Landsat image geocorrection and registration James C. Storey; 19. Automatic and precise orthorectification of SPOT images Simon Baillarin, Aurélie Bouillon and Marc Bernard; 20. Geometry of the VEGETATION sensor Sylvia Sylvander; 21. Accurate MODIS global geolocation through automated ground control image matching Robert E. Wolfe and Masahiro Nishihama; 22. SeaWIFS operational geolocation assessment system Frederick S. Patt; Part V. Conclusion: 23. Concluding remarks Jacqueline Le Moigne, Nathan S. Netanyahu and Roger D. Eastman; Glossary; Index.


"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 non-specialists, 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..." - Jón Atli Benediktsson, 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, The Leading Edge, July 2013


Jon A. Benediktsson, Jacqueline Le Moigne, Nathan S. Netanyahu, Roger D. Eastman, Bin Tan, Curtis E. Woodcock, Harold S. Stone, Qin-Sheng Chen, Arlene A. Cole-Rhodes, Pramod K. Varshney, A. Ardeshir Goshtasby, David M. Mount, San Ratanasanya, Charles S. Kenney, B. S. Manjunath, Marco Zuliani, Kaushal Solanki, Venu M. Govindu, Rama Chellappa, Ilya Zavorin, Min Xu, Jeffrey T. Morisette, James L. Carr, Veljko M. Jovanovic, David J. Diner, Roger Davies, William J. Emery, R. Ian Crocker, Daniel G. Baldwin, James C. Storey, Simon Baillarin, Aurélie Bouillon, Marc Bernard, Sylvia Sylvander, Robert E. Wolfe, Masahiro Nishihama, Frederick S. Patt

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