The coarse registration of point clouds from urban building scenes has become a key topic
in applications of terrestrial laser scanning technology. Sampling-based algorithms in the …

Most of the existing approaches to the extraction of buildings from high-resolution orthoimages
consider the problem as semantic segmentation, which extracts a pixel-wise mask for …

The automatic co-registration of point clouds, representing three-dimensional (3D) surfaces,
is an important technique in 3D reconstruction and is widely applied in many different …

Registration of terrestrial point clouds is essential for large-scale urban applications. The
robustness, accuracy, and runtime are generally given the highest priority in the design of …

This paper presents an image-guided end-to-end registration approach for globally consistent
3-D registration of unordered terrestrial laser scanning (TLS) point clouds. The proposed …

Efficient and accurate road extraction from remote sensing imagery is important for applications
related to navigation and Geographic Information System updating. Existing data-driven …

Terrestrial laser scanners are widely used to derive unbiased and non-destructive estimates
of the vertical distribution of the plant area index and plant area volume density at plot-level …

Abstract: From real 3D modeling to digital twin modeling is the basic requirement for the
construction and development of the country's digital economy and smart society. This paper …

Integration of aerial and ground images has been proved as an efficient approach to enhance
the surface reconstruction in urban environments. However, as the first step, the feature …

Within this study, we present a pioneering cross-platform point cloud registration (PCR)
framework aimed at the automated alignment of UAV and terrestrial forest LiDAR point clouds. …