Abstract
Abstract. Nowadays, multi-camera aerial platforms combining nadir and oblique cameras are experiencing a revival and several companies have proposed new image acquisition systems. Due to their various advantages, oblique imagery have found their place in numerous companies and civil applications. However, the automatic processing of such image blocks still remains a topic of research. Camera configuration indeed poses a challenge on the traditional photogrammetric pipeline used in commercial software but, on the other hand, gives the opportunity to exploit the additional information provided by the oblique views and allows a more reliable feature extraction. In particular, the information that can be provided in correspondence of building façades can open new possibilities for the building detection and footprint extraction. In this paper, a methodology for the automated extraction of building footprints from oblique imagery is presented. The extraction is performed using dense point clouds generated using an image matching algorithm. The developed methodology and the achieved results are described in detail showing the advantages and opportunities offered by oblique aerial systems for cartographic and mapping purposes.
Highlights
The extraction of geometric and semantic information from image and range data is one of the main research topics in the Geomatics community
The automated building detection and footprint extraction have shown to be an important instrument for map updating, 3D city models generation, detection of unregistered buildings and change detection analyses
The development of automated solutions able to speed up the processing and reduce the costs of building detection and footprint extraction is greatly increased
Summary
The extraction of geometric and semantic information from image and range data is one of the main research topics in the Geomatics community. The achieved information provides for a complete 3D information instead of a 2.5D data as in traditional nadir image blocks Practical utility of this data is obvious but automated processing is still a challenge. The higher completeness of the information provided by oblique images allowed their use in very different applications, such as monitoring services during mass events and environmental accidents (Petrie, 2008; Grenzdörfer et al, 2008), road land updating (Mishra et al, 2008), administration services (Lemmens et al, 2008), building detection (Xiao et al, 2012), building damages classification (Nyaruhuma et al, 2012) and city modelling (Wang, 2012). The completeness of the extracted building footprint is evaluated performing a visual inspection
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