Over recent decades, 3D point clouds have been a popular data source applied in automatic
change detection in a wide variety of applications. Compared with 2D images, using 3D …

In the last two decades, airborne laser scanning (ALS) has found widespread application
and driven fundamental advances in the Earth sciences. With increasing availability and …

Generally, performing multiple scans is necessary to cover entire scanning area, and
multiple point clouds are thus obtained. These point clouds need to be registered together …

Point cloud registration, as the first step for the use of point cloud data, has attracted
increasing attention. In order to obtain the entire point cloud of a scene, the registration of …

Recently, the 3-D symmetric transformation, which can simultaneously consider the
measurement errors of the source and target coordinates, has become a hot research topic …

The 4-D evaluation based on light detection and ranging (LiDAR) point cloud data of power
equipment geometric shape can accurately describe the evolution process of equipment …

Indoor point cloud segmentation is necessary for many applications including object
identification for indoor navigation, facility management and so on. In order to construct …

To obtain the complete coverage when scanning a large-scale scene using a laser scanner,
registration of pairwise point clouds by the corresponding geometric features is usually …

Quantifying off-fault deformation in the near field remains a challenge for earthquake
monitoring using geodetic observations. We propose an automated change detection …

High resolution and high accuracy distributed detection of fault creep deformation remains
challenging given limited observations and associated change detection strategies. A …