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- W2500889230 abstract "This chapter focuses on the extraction of three-dimensional (3D) planar primitives. It presents two approaches for detecting 3D roof facets; the first one is based on the analysis of the 3D point cloud while the second one integrates aerial images. The extraction of lines from a Light Detection and Ranging (LiDAR) point cloud is a difficult task since LiDAR points are randomly distributed over surfaces: depending on the point density, building edges are approximately delineated. Integrating aerial images with LiDAR data in a primitive detection process may highly enhance the resulting facets. Automatic mapping of urban areas from aerial images is a challenging task for scientists and surveyors because of the complexity of urban scenes. The chapter shows that searching for planar primitives in a LiDAR point cloud has limitations with regard to a joint use of aerial images and LiDAR data." @default.
- W2500889230 created "2016-08-23" @default.
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- W2500889230 date "2017-12-19" @default.
- W2500889230 modified "2023-09-24" @default.
- W2500889230 title "Feature Extraction from LiDAR Data in Urban Areas" @default.
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- W2500889230 doi "https://doi.org/10.1201/9781420051438-14" @default.
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