Abstract Three-dimensional (3D) building roof reconstruction from airborne LiDAR point
clouds is an important task in photogrammetry and computer vision. To automatically …

In urban point cloud scenarios, due to the diversity of different feature types, it becomes a
primary challenge to effectively obtain point clouds of building categories from urban point …

Reconstructing urban areas in 3D from satellite raster images has been a long-standing
problem for both academical and industrial research. While automatic methods achieving …

In the essential task of roof segmentation, the performance and generalization of deep
learning-based methods for roof segmentation are much affected by the training datasets …

3D window details for buildings are important in many 3D simulation and visualization
applications. However, they are not easy to acquire or reconstruct. Thus, many 3D city …

Due to the limitation of less information in a single image, it is very difficult to generate a high-
precision 3D model based on the image. There are some problems in the generation of 3D …

3D models of urban buildings have paramount importance to most digital urban
applications. However, requirement of large storage and high computational cost for …

The high-voltage transmission line is the aorta of power energy transmission, the pylon as
the main component of the transmission line, is the premise of the safe and stable operation …

Today, migration from rural areas, continuous change in cities and the increasing complexity
of their structure yielded the need of new methods to increase efficiency in their …

Three-dimensional (3D) reconstructions of surface models from airborne and space-borne
imagery is a long standing topic in photogrammetry and computer vision. The imagery …