You are in:Home/Publications/Towards Automated Generation of True Orthoimages for Urban Areas

Prof. Mohamed Ibrahim Zahran :: Publications:

Title:
Towards Automated Generation of True Orthoimages for Urban Areas
Authors: Mehad Haggag;Mohamed Zahran;Mahmoud Salah
Year: 2018
Keywords: Not Available
Journal: American Journal of Geographic Information System
Volume: 7
Issue: 2
Pages: Not Available
Publisher: Scientific and Academic publishing
Local/International: International
Paper Link: Not Available
Full paper Mohamed Ibrahim Zahran_Towards Automated Generation of True Orthoimages.pdf
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.

Google ScholarAcdemia.eduResearch GateLinkedinFacebookTwitterGoogle PlusYoutubeWordpressInstagramMendeleyZoteroEvernoteORCIDScopus