Arthur Goshtasby, Jacqueline Le Moigne
Registration and fusion of multiple source imagery are the most important issues when dealing with Earth Science remote sensing data where information from multiple sensors, exhibiting various resolutions, must be integrated. Issues ranging from different sensor geometries, different spectral responses, differing illumination conditions, different seasons, and various amounts of noise need to be dealt with when designing an image registration or image fusion method. This tutorial will review these various issues and some of the general tools and methods that have been developed to solve them. In particular, tools and methods for landmark detection, landmark correspondence, similarity measures, features and descriptors for matching, and transformation functions for image registration will be reviewed. The tutorial will also cover topics on image fusion and will in particular provide details of a fusion algorithm based on cokriging and a fusion algorithm based on image compositing, and will demonstrate results of the algorithms on Landsat and Hyperion data. The tutorial will also present various tools and methods that have been developed at NASA Goddard Space Flight Center for image registration and image fusion during the last 10 years.
Arthur Goshtasby received his B.E. degree in Electronics Engineering from the University of Tokyo, Japan, in 1974, his M.S. degree in Computer Science from University of Kentucky in 1975, and his Ph.D. degree also in Computer Science from Michigan State University in 1983. He is currently a Professor of Computer Science and Engineering at Wright State University, Dayton, OH. His areas of research include image registration, image fusion, and curves and surfaces. He more than 50 journal papers in the area of computer vision and image processing and is the author of 2-D and 3-D Image Registration for Medical, Remote Sensing, and Industrial Applications, Wiley Press, 2005.
Jacqueline Le Moigne received a B.S. degree in Mathematics, an M.S. degree in Mathematics, and a Ph.D. in Computer Science (specialty: Computer Vision) from the University Pierre and Marie Curie, Paris, France. She is currently the Assistant Chief for Technology in the Software Engineering Division at NASA Goddard Space Flight Center. In this position, she leads the strategic vision and the technology goals and objectives of the Division. Her research activities include registration of multi-sensor/multi-scale satellite image data, for which she has been studying wavelets and their implementation on high performance parallel computers. Dr. Le Moigne has published over 110 journal, conference, and book chapter articles, including 20 journal papers. She is the first author of an edited book on “Image Registration for Remote Sensing” to be published by Cambridge University Press in 2010.
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