Atsiliepimai
Aprašymas
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.
Features
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.
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.
Features
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.
Atsiliepimai