Image Registration for Remote Sensing

Image registration is a digital 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 specialised graduate courses.

List of contributors	p. ix
Foreword	p. xii
Acknowledgements	p. xiv
The Importance of Image Registration for Remote Sensing
Introduction	p. 3
Influence of image registration on validation efforts	p. 24
Survey of image registration methods	p. 35
Similarity Metrics for Image Registration
Fast correlation and phase correlation	p. 79
Matched filtering techniques	p. 112
Image registration using mutual information	p. 131
Feature Matching and Strategies for Image Registration
Registration of multiview images	p. 153
New approaches to robust, point-based image registration	p. 179
Condition theory for image registration and post-registration error estimation	p. 200
Feature-based image to image registration	p. 215
On the use of wavelets for image registration	p. 240
Gradient descent approaches to image registration	p. 265
Bounding the performance of image registration	p. 276
Applications and Operational Systems
Multitemporal and multisensor image registration	p. 293
Georegistration of meteorological images	p. 339
Challenges, solutions, and applications of accurate multiangle image registration: Lessons learned from MISR	p. 355
Automated AVHRR image navigation	p. 383
Landsat image geocorrection and registration	p. 400
Automatic and precise orthorectification of SPOT images	p. 415
Geometry of the VEGETATION sensor	p. 426
Accurate MODIS global geolocation through automated ground control image matching	p. 437
SeaWiFS operational geolocation assessment system	p. 456
Conclusion
Concluding remarks	p. 475
Index	p. 478
Table of Contents provided by Ingram. All Rights Reserved.

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Image Registration for Remote Sensing

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Table of Contents

Supplemental Materials