Abstract
Abstract. Three-dimensional urban region representations can be used for detailed urban monitoring, change and damage detection purposes. In order to obtain three-dimensional representation, one of the easiest and cheapest way is to use Digital Surface Models (DSMs) which are generated from very high resolution stereo satellite images using stereovision techniques. Unfortunately after applying the DSM generation process, we cannot directly obtain three-dimensional urban region representation. In the DSM which is generated using only one stereo image pair, generally noise, matching errors, and uncertainty on building wall locations are very high. These undesirable effects prevents a DSM to provide a realistic three-dimensional city representation. Therefore, some automatic techniques should be applied to obtain three-dimensional city models using DSMs as input. In order to solve the existing problems in this field, herein we introduce two automated approaches based on usage of DSMs as input. The first method depends on using of a 3D active shape model for building shape extraction and 3D reconstruction, the second approach is based on an approximation of prismatic models to DSMs. Our experimental results on images and DSMs of Tunis city which are obtained from WorldView-2 satellite indicate possible usage of the proposed algorithms to obtain three-dimensional city representations automatically.
Highlights
Three-dimensional representations of complex environments obtained a lot of interest for various applications with the development of satellite sensor technology
In order to bring an automated solution to this problem, in previous work Sirmacek et al proposed a novel technique for obtaining three-dimensional city representations by applying a building shape and rooftop-type detection approach to Digital Surface Models (DSMs) (Sirmacek et al, 2011)
They extracted building shapes from regions which are obtained from thresholding result by using a binary active shape growing algorithm that they proposed which depends on growing rectangular shapes in elongated segments which are detected in binary mask which is obtained by thresholding the DSM
Summary
Three-dimensional representations of complex environments obtained a lot of interest for various applications with the development of satellite sensor technology. In order to bring an automated solution to this problem, in previous work Sirmacek et al proposed a novel technique for obtaining three-dimensional city representations by applying a building shape and rooftop-type detection approach to DSMs (Sirmacek et al, 2011). They started by applying local thresholding to raw DSMs in order to extract high urban objects which can indicate building locations. The first 3D modeling approach consists of three main modules as: detection of building shapes, rooftop classification, and 3D reconstruction based on the detected shapes and rooftop classes This approach extracts seed-point locations from the segmentation result which indicate approximate building regions. Prismatic models (LOD1) are created by computing an average height of the internal building pixels and generating the roof and wall polygons
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