Orthorectification of High Resolution Remotely Sensed Images

Explains the ortho-rectification for different imaging methods such as frame, linear, and video imaging, for different imaged areas, different types of sensors, and for different requirements of processing speed. A great reference for a complete understanding of orthorectification.

Ortho-rectification in remote sensing is used to correct satellite or aerial image distortions caused by terrain elevation and sensor angle. This book explains the ortho-rectification for different imaging methods such as frame, linear, and video imaging, for different imaged areas such as Greenland without ground features or urban areas with high buildings, for different types of sensors, and for different requirements of processing speed. It starts with the definition of ortho-rectification and takes a step-by-step introduction to the models, the algorithms, the methods, the Digital Orthophoto Map (DOM) quality control, and the USGS DOM Standards. FeaturesFocuses on a specific topic which is crucial for applications like land use mapping, urban planning, environmental monitoring, etc. Clearly explains the theory and the applications through many illustrations and detailed examples. Addresses ortho-rectification systematically and comprehensively for all levels of readers. Explains the challenges faced during constructing models, algorithms, and methods for ortho-rectification. Includes the lessons learned from the author’s longstanding research and experience on the topic. This book is an excellent reference for a complete understanding of ortho-rectification. It's for senior undergraduate students and graduate students in remote sensing, information technology, computer science and engineering, electronic engineering, and geography. As well as researchers, professionals, and those who work in governmental and commercial sectors interested in satellite remote sensing image processing.