Abstract
Providing high quality 3D data with reasonable quality and cost were always essential, affording the core data and foundation for developing an information-based decision-making tool of urban environments with the capability of providing decision makers, stakeholders, professionals, and public users with 3D views and 3D analysis tools of spatial information that enables real-world views. Helps and assist in improving users’ orientation and also increase their efficiency in performing their tasks related to city planning, Inspection, infrastructures, roads, and cadastre management. In this paper, the capability of multi-view Vexcel UltraCam Osprey camera images is examined to provide a 3D model of building façades using an efficient image-based modeling workflow adopted by commercial software’s. The main steps of this work include: Specification, point cloud generation, and 3D modeling. After improving the initial values of interior and exterior parameters at first step, an efficient image matching technique such as Semi Global Matching (SGM) is applied on the images to generate point cloud. Then, a mesh model of points is calculated using and refined to obtain an accurate model of buildings. Finally, a texture is assigned to mesh in order to create a realistic 3D model. The resulting model has provided enough LoD2 details of the building based on visual assessment. The objective of this paper is neither comparing nor promoting a specific technique over the other and does not mean to promote a sensor-based system over another systems or mechanism presented in existing or previous paper. The idea is to share experience.
Highlights
Oblique airborne photogrammetry is rapidly maturing and becoming almost standard in many mapping applications especially for 3D City modeling thanks to the development of airborne digital multi-camera systems
With the current significant improvements on camera sensors and multi-ray Photogrammetric applications, and tools, Software’s starts affording the required efficient tools that are capable of generating dense cloud points from sensor-based highly overlapped Nadir imagery in order to produce and reconstruct 3D Mesh for the 3D buildings and attach the best facade textures for those objects Automatically by using a preacquired Oblique imagery that best fit the 3D object
The fusion between sensor based imagery point clouds and close range images helps to reduce the cost comparing to using traditional fusion between Airborne and terrestrial Lidar technologies for the generation of LoD2 building 3D Models and Improve the completeness and adaptability of modeling
Summary
Oblique airborne photogrammetry is rapidly maturing and becoming almost standard in many mapping applications especially for 3D City modeling thanks to the development of airborne digital multi-camera systems. With the current significant improvements on camera sensors and multi-ray Photogrammetric applications, and tools, Software’s starts affording the required efficient tools that are capable of generating dense cloud points from sensor-based highly overlapped Nadir imagery in order to produce and reconstruct 3D Mesh for the 3D buildings and attach the best facade textures for those objects Automatically by using a preacquired Oblique imagery that best fit the 3D object. In this paper we are explaining and sharing the knowledge and experience in using several semiautomatic methods adopted by commercial software’s like (Bentley Acute3D, SURE, Skyline) for reconstructing 3D textured buildings from multi view (nadir/oblique) images.
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