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Image Registration for Remote Sensing

Details

  • 139 b/w illus. 45 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

Hardback

 (ISBN-13: 9780521516112)

Image Registration for Remote Sensing
Cambridge University Press
9780521516112 - Image Registration for Remote Sensing - Edited by Jacqueline Le Moigne, Nathan S. Netanyahu and Roger D. Eastman
Frontmatter/Prelims

Image Registration for Remote Sensing

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 in supporting Earth and planetary scientists as they mosaic remote sensing satellite images and track changes of the planet's surface over time for environmental, political and basic science studies. The book brings together invited contributions by 36 distinguished researchers in the field to present a coherent and detailed overview of current research and practice in the application of image registration to satellite imagery. The chapters cover the problem definition, theoretical issues in accuracy and efficiency, fundamental algorithms used in its solution, and real-world case studies of image registration software applied to imagery from operational satellite systems.

This book is an essential reference for Earth and space scientists who need a comprehensive and practical overview on how to obtain optimal georegistration of their data, an indispensable source for image processing researchers interested in current research, and the ideal text for teaching a special topic university graduate course.

Jacqueline Le Moigne is the Assistant Chief for Technology in the Software Engineering Division at NASA Goddard Space Flight Center where she leads the strategic vision and the development of goals and objectives for advanced software and information system technologies. During her 20 years experience at NASA, Dr. Le Moigne has performed significant work in the processing and the analysis of remote sensing data. She has become an international expert in image registration, especially as it relates to the use of wavelet analysis, high-performance and onboard processing. She has published over 120 refereed papers and has been an Associate Editor for the IEEE Transactions on Geoscience and Remote Sensing and for the journal Pattern Recognition.

Nathan S. Netanyahu is an Associate Professor in the Department of Computer Science at Bar-Ilan University, Israel, and is also affiliated with the Brain Research Center at Bar-Ilan University and the Center for Automation Research at the University of Maryland, College Park. He has previously worked for the Israeli Ministry of Defense, the Space Data and Computing Division, NASA Goddard Space Flight Center, and for the Center for Excellence in Space Data and Information Sciences (CESDIS) at NASA Goddard. Professor Netanyahu's main research interests are in the areas of algorithm design and analysis, computational geometry, image processing, pattern recognition, remote sensing, and robust statistical estimation. He has coauthored nearly 70 refereed papers that appeared in journals, international conference proceedings, and book chapters, and has served as Associate Editor for Pattern Recognition.

Roger D. Eastman is an Associate Professor of Computer Science at Loyola University Maryland, with over 25 years of experience in image matching and registration for medical, robotic and Earth science applications. Professor Eastman has collaborated with NASA-Goddard researchers in Earth science registration on techniques for generalizing and evaluating algorithms, and for robust subpixel registration, and with NIST-Gaithersburg researchers on advanced sensors for manufacturing robotics for general assembly. He regularly reviews articles on image registration for the IEEE Transactions on Geoscience and Remote Sensing and other remote sensing venues.


Image Registration for Remote Sensing

Edited by

Jacqueline Le Moigne

NASA Goddard Space Flight Center, USA

Nathan S. Netanyahu

Bar-Ilan University, Israel, and University of Maryland, USA

Roger D. Eastman

Loyola University Maryland, USA


CAMBRIDGE UNIVERSITY PRESS
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Cambridge University Press
The Edinburgh Building, Cambridge CB2 8RU, UK

Published in the United States by Cambridge University Press, New York

www.cambridge.org
Information on this title: www.cambridge.org/9780521516112

© Cambridge University Press 2011

Sections of this work are retained under copyright of the U.S. Government.

This publication is in copyright. Subject to statutory exception and to the provisions of relevant collective licensing agreements, no reproduction of any part may take place without the written permission of Cambridge University Press.

First published 2011

Printed in the United Kingdom at the University Press, Cambridge

A catalog record for this publication is available from the British Library

Library of Congress Cataloging in Publication data

Image registration for remote sensing / edited by Jacqueline Le Moigne, Nathan S. Netanyahu, Roger D. Eastman.
p. cm.
Includes bibliographical references and index.
ISBN 978-0-521-51611-2
1. Image registration. 2. Image analysis. 3. Remote sensing. 4. Image processing –
Digital techniques.
I. Le Moigne, Jacqueline. II. Netanyahu, Nathan S.
III. Eastman, Roger D. IV. Title.
TA1632.I4826 2010
621.36′78 – dc22 2010041514

ISBN 978-0-521-51611-2 Hardback

Cambridge University Press has no responsibility for the persistence or accuracy of URLs for external or third-party internet websites referred to in this publication, and does not guarantee that any content on such websites is, or will remain, accurate or appropriate.


To my mother, Noëlie Le Moigne, for teaching me that all dreams can be achieved through determination. To Gavin, Lauriane and Gordon, for all the hours I spent on this endeavor.

Jacqueline Le Moigne

To my precious children, Aviv and Yovel, and to my beloved partner and closest friend, Ella Aviram, for their love, support, and endless patience!

Nathan S. Netanyahu

To my wife Michele and son Daniel for their support and understanding.

Roger D. Eastman


We dedicate this book to the memory of Professor Azriel Rosenfeld, who inspired us with a love of image processing


Contents

List of contributors
ix
Foreword by Jón A. Benediktsson
xii
Acknowledgements
xiv
PART I    The Importance of Image Registration for Remote Sensing
1         Introduction
Jacqueline Le Moigne, Nathan S. Netanyahu, and Roger D. Eastman
3
2         Influence of image registration on validation efforts
Bin Tan and Curtis E. Woodcock
24
3         Survey of image registration methods
Roger D. Eastman, Nathan S. Netanyahu, and Jacqueline Le Moigne
35
PART II   Similarity Metrics for Image Registration
4         Fast correlation and phase correlation
Harold S. Stone
79
5         Matched filtering techniques
Qin-Sheng Chen
112
6         Image registration using mutual information
Arlene A. Cole-Rhodes and Pramod K. Varshney
131
PART III  Feature Matching and Strategies for Image Registration
7         Registration of multiview images
A. Ardeshir Goshtasby
153
8         New approaches to robust, point-based image registration
David M. Mount, Nathan S. Netanyahu, and San Ratanasanya
179
9         Condition theory for image registration and post-registration error estimation
C. S. Kenney, B. S. Manjunath, M. Zuliani, and K. Solanki
200
10        Feature-based image to image registration
Venu Madhav Govindu and Rama Chellappa
215
11        On the use of wavelets for image registration
Jacqueline Le Moigne, Ilya Zavorin, and Harold Stone
240
12        Gradient descent approaches to image registration
Arlene A. Cole-Rhodes and Roger D. Eastman
265
13        Bounding the performance of image registration
Min Xu and Pramod K. Varshney
276
PART IV   Applications and Operational Systems
14        Multitemporal and multisensor image registration
Jacqueline Le Moigne, Arlene A. Cole-Rhodes, Roger D. Eastman, Nathan S. Netanyahu, Harold S. Stone, Ilya Zavorin, and Jeffrey T. Morisette
293
15        Georegistration of meteorological images
James L. Carr
339
16        Challenges, solutions, and applications of accurate multiangle image registration: Lessons learned from MISR
Veljko M. Jovanovic, David J. Diner, and Roger Davies
355
17        Automated AVHRR image navigation
William J. Emery, R. Ian Crocker, and Daniel G. Baldwin
383
18        Landsat image geocorrection and registration
James C. Storey
400
19        Automatic and precise orthorectification of SPOT images
Simon Baillarin, Aurélie Bouillon, and Marc Bernard
415
20        Geometry of the VEGETATION sensor
Sylvia Sylvander
426
21        Accurate MODIS global geolocation through automated ground control image matching
Robert E. Wolfe and Masahiro Nishihama
437
22        SeaWiFS operational geolocation assessment system
Frederick S. Patt
456
PART V    Conclusion
23        Concluding remarks
Jacqueline Le Moigne, Nathan S. Netanyahu, and Roger D. Eastman
475
Index
478

Contributors

Simon Baillarin

CNES (Centre National d'Etudes Spatiales), Toulouse, France

Daniel G. Baldwin

Colorado Center for Astrodynamics Research, Aerospace Engineering Science Department, University of Colorado at Boulder, Colorado

Jón A. Benediktsson

IEEE Geoscience and Remote Sensing Society and University of Iceland, Reykjavik, Iceland

Marc Bernard

Spot Image, Toulouse, France

Aurélie Bouillon

IGN (Institut Géographique National), Saint-Mandé, France

James L. Carr

Carr Astronautics, Washington, DC

Rama Chellappa

Center for Automation Research, University of Maryland at College Park, Maryland

Qin-Sheng Chen

Hickman Cancer Center, Flower Hospital, ProMedica Health System, Sylvania, Ohio

Arlene Cole-Rhodes

Electrical and Computer Engineering Department, Morgan State University, Baltimore, Maryland

R. Ian Crocker

Colorado Center for Astrodynamics Research, Aerospace Engineering Science Department, University of Colorado at Boulder, Colorado

Roger Davies

Department of Physics, The University of Auckland, New Zealand

David J. Diner

Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California

Roger D. Eastman

Loyola University, Baltimore, Maryland

William J. Emery

Colorado Center for Astrodynamics Research, Aerospace Engineering Science Department, University of Colorado at Boulder, Colorado

A. Ardeshir Goshtasby

Department of Computer Science and Engineering, Wright State University, Dayton, Ohio

Venu M. Govindu

Department of Electrical Engineering, Indian Institute of Science, Bangalore, India

Veljko M. Jovanovic

Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California

Charles S. Kenney

Department of Electrical and Computer Engineering, University of California at Santa Barbara, California

Jacqueline Le Moigne

NASA Goddard Space Flight Center, Greenbelt, Maryland

B. S. Manjunath

Department of Electrical and Computer Engineering, University of California at Santa Barbara, California

Jeffrey Morisette

U.S. Geological Survey (USGS) Fort Collins Center, Colorado; formerly Hydrospheric and Biospheric Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, Maryland

David M. Mount

Department of Computer Science, University of Maryland at College Park, Maryland

Nathan S. Netanyahu

Bar-Ilan University, Israel, and University of Maryland at College Park, Maryland

Masahiro Nishihama

Raytheon at Terrestrial Information Systems Branch, NASA Goddard Space Flight Center, Greenbelt, Maryland

Frederick S. Patt

Science Applications International Corporation (SAIC), NASA Goddard Space Flight Center, Greenbelt, Maryland

San Ratanasanya

formerly Department of Computer Science, University of Maryland at College Park, Maryland

Kaushal Solanki

Department of Electrical and Computer Engineering, University of California at Santa Barbara, California

Harold S. Stone

NEC Research Laboratory Retiree, New Jersey

James Storey

SGT (Stinger Ghaffarian Technologies) at USGS Center for Earth Resources Observation and Science (EROS), Sioux Falls, South Dakota

Sylvia Sylvander

CNES (Centre National d’ Etudes Spatiales), Toulouse, France

Bin Tan

Earth Resources Technology Inc., Annapolis Junction, Maryland

Pramod K. Varshney

Electrical Engineering and Computer Science Department, Syracuse University, New York

Robert E. Wolfe

Terrestrial Information Systems Branch, NASA Goddard Space Flight Center, Greenbelt, Maryland

Curtis Woodcock

Department of Geography and Environment, Boston University, Massachussets

Min Xu

Department of Electrical Engineering and Computer Science, Syracuse University, New York

Ilya Zavorin

formerly Goddard Earth Science Technology (GEST) Center at NASA Goddard, University of Maryland Baltimore County, Maryland

Marco Zuliani

Department of Electrical and Computer Engineering, University of California at Santa Barbara, California




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