Ripe with possibilities offered by deep-learning techniques and useful in applications
related to remote sensing, computer vision, and robotics, 3D point cloud semantic …

This paper reviews LiDAR ground filtering algorithms used in the process of creating Digital
Elevation Models. We discuss critical issues for the development and application of LiDAR …

This paper introduces a novel, region-growing algorithm for the fast surface patch
segmentation of three-dimensional point clouds of urban environments. The proposed …

Ideal for both undergraduate and graduate students in the fields of geography, forestry,
ecology, geographic information science, remote sensing, and photogrammetric …

3D point cloud segmentation is the process of classifying point clouds into multiple
homogeneous regions, the points in the same region will have the same properties. The …

This article describes a complete unsupervised system for the segmentation of massive 3D
point clouds. Our system bridges the missing components that permit to go from 99 …

Abstract 3D point cloud data from sensing technologies such as 3D laser scanning and
photogrammetry are able to capture the 3D surface geometries of target objects in an …

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 …

Airborne LiDAR is one of the most effective and reliable means of terrain data collection.
Using LiDAR data for digital elevation model (DEM) generation is becoming a standard …

This paper presents a solution framework for the segmentation and reconstruction of
polyhedral building roofs from aerial LIght Detection And Ranging (lidar) point clouds. The …