Image Registration for Remote Sensing [Paperback]

Demonstrates the application of image registration for creating mosaics of satellite images and tracking temporal changes at the Earth's surface.This book provides a summary of current research in the application of image registration to satellite imagery. Presenting algorithms for creating mosaics and tracking changes on the planet's surface over time, it is an indispensable resource for researchers and advanced students in Earth and space science, and image processing.This book provides a summary of current research in the application of image registration to satellite imagery. Presenting algorithms for creating mosaics and tracking changes on the planet's surface over time, it is an indispensable resource for researchers and advanced students in Earth and space science, and image processing.Image registration is a digital image 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 specialized graduate courses.Foreword Jon A. Benediktsson; Part I. The Importance of Image Registration for Remote Sensing: 1. Introduction Jacqueline Le Moigne, Nathan S. Netanyahu and Roger D. Eastman; 2. Influence of image registration on validation efforts BinlB