Regular ArticleInterpretation of Urban Surface Models Using 2D Building Information☆
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Cycle graph analysis for 3D roof structure modelling: Concepts and performance
2014, ISPRS Journal of Photogrammetry and Remote SensingCitation Excerpt :Different approaches to building reconstructions from ALS point clouds have been proposed (e.g. Brenner, 2005; Musialski et al., 2012). Of these approaches, the model-driven categories opt for pre-defined model libraries (e.g. Maas and Vosselman, 1999; Haala and Brenner, 1998). Among other changes are the recent presentations of a building reconstruction approach by Lafarge et al. (2010) adopting Bayesian decisions rules to optimise parametric blocks placed on 2D-supports, and an introduction of generative statistics by Huang et al. (2013) to a reconstruction scheme, where pre-defined primitives have been combined and merged into an entire roof.
Automated detection of buildings from single VHR multispectral images using shadow information and graph cuts
2013, ISPRS Journal of Photogrammetry and Remote SensingCitation Excerpt :The data sources used along with images cover a wide range. Until now, LIDAR data (e.g., Haala and Brenner, 1998; Haala and Brenner, 1999; Hongjian and Shiqiang, 2006; Rottensteiner et al., 2007; Sohn and Dowman, 2007; Awrangjeb et al., 2010; Khoshelham et al., 2010; Hermosilla et al., 2011), SAR data (e.g., Tupin and Roux, 2003; Poulain et al., 2011; Wegner et al., 2011a), hyper-spectral data (McKeown et al., 1999), or existing building layers in 2-D GIS databases (e.g., Haala and Brenner, 1998; Haala and Brenner, 1999; Suveg and Vosselman, 2004; Bouziani et al., 2010; Vallet et al., 2011; Koc-San and Turker, 2012; Tack et al., 2012) have been successfully treated as supplementary sources to the image data. In addition, libraries of predefined building models (e.g., Fischer et al., 1998; Croitoru and Doytsher, 2003; Jaynes et al., 2003; Suveg and Vosselman, 2004) can also serve as additional data sources.
Automatic roof model reconstruction from ALS data and 2D ground plans based on side projection and the TMR algorithm
2011, ISPRS Journal of Photogrammetry and Remote SensingCitation Excerpt :For a fully autonomous system, the integration of multiple data sources, such as multiple aerial images, ALS data, and 2D ground plans, might increase the reliability and degree of automation, but some constraints or limitations in certain aspects are unavoidable. Examples include the capability of handling a high density of built-up areas, occlusions from trees or neighboring buildings, bad image quality due to shadows, weather conditions or digitized imagery, insufficient image resolution or point clouds density, miscellaneous objects on the rooftop, etc. (Baillard and Zisserman, 2000; Brenner, 2000; Oude Elberink and Vosselman, 2009; Gruen et al., 2002; Haala and Brenner, 1998, 1999; Suveg and Vosselman, 2004). The purpose of feature extraction is to retrieve 3D primitives of building structure from images or laser scanning data, including corners, ridges, eaves, faces, and so on.
Automatic building extraction from DEMs using an object approach and application to the 3D-city modeling
2008, ISPRS Journal of Photogrammetry and Remote SensingAutomatic object extraction from aerial imagery - a survey focusing on buildings
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2023, IOP Conference Series: Earth and Environmental Science
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D. FritschD. Hobbie