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Object-Oriented Image Analysis

Autor Mike Lackner
de Limba Germană Paperback – 28 noi 2013
Creating land-cover and land-use maps for urban areas has always been challenging due to the complexity of an urban landscape. The greater availability of remotely sensed high-resolution imagery and recent advances in object-oriented analysis allow for more detail than ever before in urban image classification. This book explores object-oriented land-cover and land-use classifications with one-meter resolution Ikonos imagery. First, three different ways of classifying land cover, with varying inclusion of ancillary building and road data, are examined. Second, the spatial relations of the land-cover information are examined to derive land use. Accuracy assessments, as well as statistical and visual evaluations, for the classifications show that the object-oriented approach works well for classifying an urban area. The results confirm the observed trend in the literature to move away from traditional pixel-based techniques for urban image classification in exchange for object-oriented methods. This book will be useful to those who want to develop new ways of efficiently classifying complex urban areas, using object-oriented image classification techniques.
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Specificații

ISBN-13: 9783836481663
ISBN-10: 3836481669
Pagini: 156
Dimensiuni: 150 x 220 x 9 mm
Greutate: 0.22 kg
Editura: VDM Verlag Dr. Müller e.K.

Notă biografică

Mike Lackner, MSc.: Studied Geography with emphasis on remote sensing and GIS at the University of Toronto, Ontario, and before at Portland State University, Portland, Oregon.Worked as a remote-sensing/GIS technician for Space Imaging (now Sanborn) in Portland, Oregon. Currently works on several projects at the University of Toronto.