Registration of laser scanning point clouds: A review
The integration of multi-platform, multi-angle, and multi-temporal LiDAR data has become
important for geospatial data applications. This paper presents a comprehensive review of …
important for geospatial data applications. This paper presents a comprehensive review of …
The Internet of Things and fast data streams: prospects for geospatial data science in emerging information ecosystems
This paper surveys the rapid development of the Internet of Things, the massive data
streams that are only now beginning to be generated from it, and the resulting opportunities …
streams that are only now beginning to be generated from it, and the resulting opportunities …
Forest understory trees can be segmented accurately within sufficiently dense airborne laser scanning point clouds
Airborne laser scanning (LiDAR) point clouds over large forested areas can be processed to
segment individual trees and subsequently extract tree-level information. Existing …
segment individual trees and subsequently extract tree-level information. Existing …
A Robust and Automatic Algorithm for TLS-ALS Point Cloud Registration in Forest Environments based on Tree Locations
Fusing of terrestrial laser scanning (TLS) and airborne laser scanning (ALS) point cloud data
has been recognized as an effective approach in forest studies. In this regard, co-registration …
has been recognized as an effective approach in forest studies. In this regard, co-registration …
Parallel Delaunay triangulation in three dimensions
SH Lo - Computer Methods in Applied Mechanics and …, 2012 - Elsevier
A generic parallel Delaunay triangulation scheme by means of zonal partition of points is
proposed. For efficient Delaunay triangulation, points are first sorted into cells, each of which …
proposed. For efficient Delaunay triangulation, points are first sorted into cells, each of which …
Rapeseed leaf estimation methods at field scale by using terrestrial LiDAR point cloud
F Hu, C Lin, J Peng, J Wang, R Zhai - Agronomy, 2022 - mdpi.com
Exploring the key technologies of agricultural robots is an inevitable trend in the
development of smart agriculture. It is significant to continuously transplant and develop …
development of smart agriculture. It is significant to continuously transplant and develop …
2D inverse modeling for potential fields on rugged observation surface using constrained Delaunay triangulation
The regular grid discretization is prevalent in the inverse modeling for gravity and magnetic
data. However, this subdivision strategy performs lower precision to represent the rugged …
data. However, this subdivision strategy performs lower precision to represent the rugged …
Parallel agent-based simulation of individual-level spatial interactions within a multicore computing environment
The computational approach of agent-based models (ABMs) supports the representation of
interactions among spatially situated individuals as a decentralized process giving rise to …
interactions among spatially situated individuals as a decentralized process giving rise to …
3D Delaunay triangulation of 1 billion points on a PC
SH Lo - Finite Elements in Analysis and Design, 2015 - Elsevier
Of course, there is not enough memory on a PC with 16 GB RAM, and tetrahedra
constructed have to be output to leave rooms for the creation of new tetrahedra in the next …
constructed have to be output to leave rooms for the creation of new tetrahedra in the next …
Enet-CRF-LiDAR: LiDAR and camera fusion for multi-scale object recognition
Q Deng, X Li, P Ni, H Li, Z Zheng - IEEE Access, 2019 - ieeexplore.ieee.org
Object recognition, which mainly includes object detection and semantic segmentation, is
one of the critical challenges for intelligent vehicles. In most cases, cameras and Lidar are …
one of the critical challenges for intelligent vehicles. In most cases, cameras and Lidar are …