Towards Automated Generation of True Orthoimages for Urban Areas
American Journal of Geographic Information System • 2018
Publication Information
Authors
Mehad Haggag;Mohamed Zahran;Mahmoud Salah
Keywords
Not Available
Journal
American Journal of Geographic Information System
Publisher
Scientific and Academic publishing
Volume
7
Issue
2
Pages
Not Available
publication.type
International
Paper Link
Not Available
Supplementary Materials
Not Available
Abstract
True orthoimage generation has become one of the most investigated research topics motivated by the growing technology of high resolution image acquisition. Conventional orthophotos are based on differential rectification in their production. Unfortunately, in large scale urban imagery differential rectification produces a serious problem in the form of double mapped areas called “ghosting effects”. True orthoimage generation techniques try to remove this ghost effect by detecting the occluded or obscured areas, marking them as blank, filling them from the neighbouring images and finally treat shadowed areas. This paper presents a method for true-orthoimage generation from high resolution aerial imagery. The method compromises three main steps: (i) image orientation based on collinearity equations/bundle block adjustment, (ii) Digital surface model (DSM) using semi-global matching (SGM) technique, and (iii) true-orthoimage generation. The obtained true-orthoimage is a rigorous one with no self-occlusions, ghost effects and multiple texture mapping. The use of
semi-global matching for DSM generation has developed promising results for orthoimage generation. Using an accurate DSM generated from image itself refined from occlusions and outliers eliminates the serious ghost effect with no need for subsequent steps for occlusion detection and elimination.
semi-global matching for DSM generation has developed promising results for orthoimage generation. Using an accurate DSM generated from image itself refined from occlusions and outliers eliminates the serious ghost effect with no need for subsequent steps for occlusion detection and elimination.
Staff Members - Benha University