[HTML][HTML] Filtering airborne LiDAR data through complementary cloth simulation and progressive TIN densification filters

S Cai, W Zhang, X Liang, P Wan, J Qi, S Yu, G Yan… - Remote Sensing, 2019 - mdpi.com
Separating point clouds into ground and non-ground points is a preliminary and essential
step in various applications of airborne light detection and ranging (LiDAR) data, and many …

A multiresolution hierarchical classification algorithm for filtering airborne LiDAR data

C Chen, Y Li, W Li, H Dai - ISPRS journal of photogrammetry and remote …, 2013 - Elsevier
We presented a multiresolution hierarchical classification (MHC) algorithm for differentiating
ground from non-ground LiDAR point cloud based on point residuals from the interpolated …

A hybrid conditional random field for estimating the underlying ground surface from airborne LiDAR data

WL Lu, KP Murphy, JJ Little… - IEEE Transactions on …, 2009 - ieeexplore.ieee.org
Recent advances in airborne light detection and ranging (LiDAR) technology allow rapid
and inexpensive generation of digital surface models (DSMs), 3-D point clouds of buildings …

[PDF][PDF] Urban scene extraction from mobile ground based lidar data

J Lam, K Kusevic, P Mrstik, R Harrap… - Proceedings of …, 2010 - academia.edu
Data sets of urban scenes collected from mobile groundbased LiDAR are dense and very
detailed. Automatic extraction of features and objects from such 3D data is desirable since it …

Change detection from differential airborne LiDAR using a weighted anisotropic iterative closest point algorithm

X Zhang, C Glennie, A Kusari - IEEE Journal of Selected Topics …, 2015 - ieeexplore.ieee.org
Differential light detection and ranging (LiDAR) from repeated surveys has recently emerged
as an effective tool to measure the three-dimensional (3-D) change. Currently, the primary …

SLAM-based incremental convex hull processing approach for treetop volume estimation

FAA Cheein, J Guivant - Computers and Electronics in Agriculture, 2014 - Elsevier
Treetops volume information in groves is a key component of the perception process for
improving herbicide management, foliage density observation and a grove's canopy maturity …

[HTML][HTML] Hybrid overlap filter for LiDAR point clouds using free software

S Buján, M Cordero, D Miranda - Remote Sensing, 2020 - mdpi.com
Despite the large amounts of resources destined to developing filtering algorithms of LiDAR
point clouds in order to obtain a Digital Terrain Model (DTM), the task remains a challenge …

Experimental evaluation of ALS point cloud ground extraction tools over different terrain slope and land-cover types

K Korzeniowska, N Pfeifer, G Mandlburger… - … Journal of Remote …, 2014 - Taylor & Francis
The article presents an evaluation of different terrain point extraction algorithms for airborne
laser scanning (ALS) point clouds. The research area covers eight test sites with varying …

Morphologically iterative triangular irregular network for airborne LiDAR filtering

W Shi, W Ahmed, K Wu - Journal of Applied Remote Sensing, 2020 - spiedigitallibrary.org
Morphological and triangular irregular network (TIN) ground filters require setting up
different parameters to achieve high accuracy for different terrains. A proposed …

DecHPoints: A new tool for improving LiDAR data filtering in urban areas

S Buján, CA Sellers, M Cordero, D Miranda - PFG–Journal of …, 2020 - Springer
Identifying ground points from LiDAR data remains a challenge more than 2 decades after
automatic filtering methods were first developed. The efficacy of filtering methods depends …