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 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"--

Part I. The importance of image registration for remote sensing. Introduction / Jacqueline Le Moigne, Nathan S. Netanyahu, and Roger D. Eastman -- Influence of image registration on validation efforts / Bin Tan and Curtis E. Woodcock -- Survey of image registration methods / Roger D. Eastman, Nathan S. Netanyahu, and Jacqueline Le Moigne -- Part II. Similarity metrics for image registration. Fast correlation and phase correlation / Harold S. Stone -- Matched filtering techniques / Qin-Sheng Chen -- Image registration using mutual information / Arlene A. Cole-Rhodes and Pramod K. Varshney -- Part III. Feature matching and strategies for image registration. Registration of multiview images / A. Ardeshir Goshtasby -- New approaches to robust, point-based image registration / David M. Mount, Nathan S. Netanyahu, and San Ratanasanya -- Condition theory for image registration and post-registration error estimation / C.S. Kenney [and others] -- Feature-based image to image registration / Venu Madhav Govindu and Rama Chellappa -- On the use of wavelets for image registration / Jacqueline Le Moigne, Ilya Zavorin, and Harold Stone -- Gradient descent approaches to image registration / Arlen…