ABSTRACT
This chapter focuses on methods used in image registration for remote sensing fusion, and on methods that form a basis for authors' own research with selected example references. It investigates various multisensor and multiresolution precision correction or registration components and algorithms, and shows several Earth Science datasets that subpixel accuracy, self-consistency and interalgorithm consistency can be achieved. Satellite remote sensing systems provide large amounts of global and repetitive measurements. Multiple satellite platforms carry sensors that provide complementary information, and the combination of all these data at various resolutions — spatial, radiometric and temporal — enables a better understanding of Earth and space science phenomena. Specific to Earth remote sensing image registration are issues related to the data acquisition conditions, the size of the data, and the lack of a “reference model” or fiducial points such as those utilized in medical image registration.
