Digital terrain model (DTM) generation is the fundamental application of airborne Lidar data.
In past decades, a large body of studies has been conducted to present and experiment a …

Change detection is an important step for the characterization of object dynamics at the
earth's surface. In multi-temporal point clouds, the main challenge is to detect true changes …

Using unmanned aerial vehicles (UAV) as platforms for light detection and ranging (LiDAR)
sensors offers the efficient operation and advantages of active remote sensing; hence, UAV …

Airborne light detection and ranging (LiDAR) technology has become the mainstream data
source in geosciences and environmental sciences. Point cloud filtering is a prerequisite for …

With the fast development of 3D data acquisition techniques, topographic point clouds have
become easier to acquire and have promoted many geospatial applications. Ground filtering …

Separating point clouds into ground and non-ground points is a preliminary and essential
step in various applications of airborne light detection and ranging (LiDAR) data, and many …

Extraction of digital terrain model (DTM) from Digital Surface Model (DSM) still faces many
problems in a complex scene with geometric ambiguities such as steep slope forested …

Coal mine surface subsidence detection determines the damage degree of coal mining,
which is of great importance for the mitigation of hazards and property loss. Therefore, it is …

Ground filtering algorithms mainly focus on filtering LiDAR (Light Detection and Ranging)
point clouds owing to their intrinsic characteristics to classify ground and non-ground points …

Separating ground from non-ground points is a challenging and essential task before the
applications of airborne Light Detection And Ranging (LiDAR) data. The classical filters …