[HTML][HTML] State-of-the-art: DTM generation using airborne LIDAR data

Z Chen, B Gao, B Devereux - Sensors, 2017‏ - mdpi.com
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 …

Ground filtering algorithms for airborne LiDAR data: A review of critical issues

X Meng, N Currit, K Zhao - Remote Sensing, 2010‏ - mdpi.com
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 …

An easy-to-use airborne LiDAR data filtering method based on cloth simulation

W Zhang, J Qi, P Wan, H Wang, D **e, X Wang, G Yan - Remote sensing, 2016‏ - mdpi.com
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) …

A progressive morphological filter for removing nonground measurements from airborne LIDAR data

K Zhang, SC Chen, D Whitman… - IEEE transactions on …, 2003‏ - ieeexplore.ieee.org
Recent advances in airborne light detection and ranging (LIDAR) technology allow rapid
and inexpensive measurements of topography over large areas. This technology is …

Experimental comparison of filter algorithms for bare-Earth extraction from airborne laser scanning point clouds

G Sithole, G Vosselman - ISPRS journal of photogrammetry and remote …, 2004‏ - Elsevier
Over the past years, several filters have been developed to extract bare-Earth points from
point clouds. ISPRS Working Group III/3 conducted a test to determine the performance of …

Airborne LiDAR for DEM generation: some critical issues

X Liu - Progress in physical geography, 2008‏ - journals.sagepub.com
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 …

[HTML][HTML] The Hessigheim 3D (H3D) benchmark on semantic segmentation of high-resolution 3D point clouds and textured meshes from UAV LiDAR and Multi-View …

M Kölle, D Laupheimer, S Schmohl, N Haala… - ISPRS Open Journal of …, 2021‏ - Elsevier
Automated semantic segmentation and object detection are of great importance in
geospatial data analysis. However, supervised machine learning systems such as …

[HTML][HTML] Towards intelligent ground filtering of large-scale topographic point clouds: A comprehensive survey

N Qin, W Tan, H Guan, L Wang, L Ma, P Tao… - International Journal of …, 2023‏ - Elsevier
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 …

OPALS–A framework for Airborne Laser Scanning data analysis

N Pfeifer, G Mandlburger, J Otepka, W Karel - Computers, Environment and …, 2014‏ - Elsevier
A framework for Orientation and Processing of Airborne Laser Scanning point clouds,
OPALS, is presented. It is designed to provide tools for all steps starting from full waveform …

Parameter-free ground filtering of LiDAR data for automatic DTM generation

D Mongus, B Žalik - ISPRS Journal of Photogrammetry and Remote …, 2012‏ - Elsevier
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 …