Image Registration for Remote Sensing

ISBN 10: 0521516110 / ISBN 13: 9780521516112

Verlag: Cambridge University Press, 2011

Beschreibung

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Bibliografische Details

• Titel: Image Registration for Remote Sensing
• Verlag: Cambridge University Press
• Erscheinungsjahr: 2011
• Sprache: Englisch
• ISBN-10: 0521516110
• ISBN-13: 9780521516112
• Einband: Hardcover
• Zustand: Good

Über diesen Titel

Inhaltsangabe

Demonstrates the application of image registration for creating mosaics of satellite images and tracking temporal changes at the Earth's surface.

Über die Autorinnen und Autoren

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 technology goals and objectives. During her twenty 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 on-board processing. She 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.

Roger D. Eastman is an Associate Professor of Computer Science at Loyola University Maryland, with over twenty-five 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 sub-pixel 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.