In this paper, the results of an experiment about the vertical accuracy of generated digital
terrain models were assessed. The created models were based on two techniques: LiDAR …

Most ground filtering algorithms are primarily designed for airborne LiDAR point cloud
processing and their successful use in identifying ground points from photogrammetric point …

Structure from Motion with Multi-View Stereo photogrammetry (SfM-MVS) is increasingly
used in geoscience investigations, but has not been thoroughly tested in gullied savanna …

Traditional and convolutional neural network (CNN)-based geographic object-based image
analysis (GeOBIA) land-cover classification methods prosper in remote sensing and …

In order to locate historical traces, drone-based Laserscanning has become increasingly
popular in archaeological prospection and historical conflict landscapes research. The low …

Multi-spectral LiDAR point clouds provide more information about the terrain surface than
mono-wavelength LiDAR, especially in water bodies' areas. The TITAN LiDAR provided by …

Abstract Knowledge about the number of trees in an orchard and their geometric parameters
is beneficial in precise farming and together with other information may be used to predict …

The paper proposes a novel framework for registering and segmenting 3D point clouds of
large-scale natural terrain and complex environments coming from a multisensor …

Accurate assessment of building damage is very important for disaster response and rescue.
Traditional damage detection techniques using 2D features at a single observing angle …

Terrestrial LiDAR has emerged as a promising technology for accurate forest assessment.
LiDAR can provide a 3D image composed of a cloud of points using a rotary laser scanner …