Integrating Artificial Intelligence (AI) techniques with remote sensing holds great potential for
revolutionizing data analysis and applications in many domains of Earth sciences. This …

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 …

Separating point clouds into ground and non-ground measurements is an essential step to
generate digital terrain models (DTMs) from airborne LiDAR (light detection and ranging) …

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 …

Leaf area index (LAI) is an important vegetation parameter. Active light detection and
ranging (LiDAR) technology has been widely used to estimate vegetation LAI. In this study …

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 …

Object-based point cloud analysis (OBPA) is useful for information extraction from airborne
LiDAR point clouds. An object-based classification method is proposed for classifying the …

This paper considers a new method for the automatic generation of digital terrain models
from LiDAR data. The method iterates a thin plate spline interpolated surface towards the …

This paper proposes a new framework for ground extraction and building detection in LiDAR
data. The proposed approach constructs the connectivity of a grid over the LiDAR point …