Mobile Laser Scanning (MLS) is a versatile remote sensing technology based on Light
Detection and Ranging (lidar) technology that has been utilized for a wide range of …

Field investigations of geometric discontinuity properties in rock masses are increasingly
using three-dimensional point cloud data. These point clouds sample the rock mass surface …

Abstract 3D scene analysis in terms of automatically assigning 3D points a respective
semantic label has become a topic of great importance in photogrammetry, remote sensing …

We propose a new methodology for large-scale urban 3D scene analysis in terms of
automatically assigning 3D points the respective semantic labels. The methodology focuses …

The fully automatic processing and analysis of 3D point clouds represents a topic of major
interest in the fields of photogrammetry, remote sensing, computer vision, and robotics …

The fully automated analysis of 3D point clouds is of great importance in photogrammetry,
remote sensing and computer vision. For reliably extracting objects such as buildings, road …

Automated segmentation of planar and linear features of point clouds acquired from
construction sites is essential for the automatic extraction of building construction elements …

Stem characteristics of plants are of great importance to both ecology study and forest
management. Terrestrial laser scanning (TLS) may provide an effective way to characterize …

Road furniture recognition has become a prevalent issue in the past few years because of its
great importance in smart cities and autonomous driving. Previous research has especially …

In this paper, we address the classification of airborne laser scanning data. We present a
novel methodology relying on the use of complementary types of geometric features …