DETECTION AND 3D RECONSTRUCTION OF URBAN FEATURES FROM AERIAL IMAGES

Urban areas are large complex diverted systems including two categories of objects: natural and man- made. Natural objects include trees, rivers, shorelines, etc. Man-made objects include buildings, roads, bridges, etc. The spatial distribution of the previous objects, particularly buildings, is one of the most important data sources for information technology-based applications such as environmental monitoring, intelligent transportation system, telecommunications, urban planning, and mobile communications. The development of an automated algorithm for producing city models is of great necessity since manual operations are very costly and time consuming. This book presents a noval technique to detect and delineate 3D buildings with complex rooftops by extracting and matching roof polygons in high-resolution remotely-sensed aerial images.

Autorentext

Dr. Elaksher obtained his Ph.D in Geomatics from Purdue Univ. in 2002. He worked as a postdoctoral researcher in the GIS and Mapping Lab in Ohio State Univ. and in the Geographic Information Science Center of Excellence at South Dakota State Univ. He also worked as an assistant professor at Cairo Univ., Egypt and at Tibah Univ., KSA.