Data fusion of high-resolution satellite imagery and LiDAR data for automatic building extraction *

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A survey of data fusion in smart city applications (2019, background): “In addition, a large variety of data sources can be used for urban planning such as physical sensors [160], photography [76], [161], or hybrid data sources [85].”
Unmanned Aerial Vehicle for Remote Sensing Applications - A Review (2019, background): “The geometric information from data such as digital elevation models (DEMs) from multi-view / stereo-view images [84,85], LiDAR data [86,87], or vector data [88] has also been proven to be of great value for land-cover classiﬁcation and object recognition [89].”
An update on automatic 3D building reconstruction (2010, unknown): “Footprints have recently been derived from digital elevation models (DEM) e.g. based on marked point processes (Ortner et al., 2007), by combining them with aerial images (Li and Wu, 2008) or high-resolution satellite images (Sohn and Dowman, 2007).”
Topological Map Extraction From Overhead Images (2018, background): “Before the comeback of deep learning, building footprints were often delineated with multi-step, bottom-up approaches and a combination of multi-spectral overhead imagery and air-borne LiDAR, e.g., [46, 2].”