Automatic filtering and 2D modeling of airborne laser scanning building point cloud

F Tarsha Kurdi, M Awrangjeb, N Munir - Transactions in GIS, 2021 - Wiley Online Library
This article suggests a new approach to automatic building footprint modeling using
exclusively airborne LiDAR data. The first part of the suggested approach is the filtering of …

[HTML][HTML] Multilevel intuitive attention neural network for airborne LiDAR point cloud semantic segmentation

Z Wang, H Chen, J Liu, J Qin, Y Sheng… - International Journal of …, 2024 - Elsevier
Three-dimensional laser scanning technology is widely employed in various fields due to its
advantage in rapid acquisition of geographic scene structures. Achieving high precision and …

Roads and Intersections Extraction from High‐Resolution Remote Sensing Imagery Based on Tensor Voting under Big Data Environment

K Sun, J Zhang, Y Zhang - Wireless Communications and …, 2019 - Wiley Online Library
Currently, big data is a new and hot object of research. In particular, the development of the
Internet of things (IoT) results in a sharp increase in data. Enormous amounts of networking …

A robust performance evaluation metric for extracted building boundaries from remote sensing data

EK Dey, M Awrangjeb - IEEE Journal of Selected Topics in …, 2020 - ieeexplore.ieee.org
Various methods for automatic building extraction from remote sensing data including light
detection and ranging (LiDAR) data have been proposed over the last two decades but a …

A distance correlation approach for optimum multiscale selection in 3d point cloud classification

M Oviedo-de la Fuente, C Cabo, C Ordóñez… - Mathematics, 2021 - mdpi.com
Supervised classification of 3D point clouds using machine learning algorithms and
handcrafted local features as covariates frequently depends on the size of the neighborhood …

Contour Extraction of UAV Point Cloud Based on Neighborhood Geometric Features of Multi-Level Growth Plane

X Chen, Q An, B Zhao, W Tao, T Lu, H Zhang, X Han… - Drones, 2024 - mdpi.com
The extraction of UAV building point cloud contour points is the basis for the expression of a
three-dimensional lightweight building outline. Previous unmanned aerial vehicle (UAV) …

Extraction of Roof Feature Lines Based on Geometric Constraints from Airborne LiDAR Data

Z Cai, H Ma, L Zhang - Remote Sensing, 2023 - mdpi.com
Airborne LiDAR (Light Detection and Ranging) is an active Earth observing system, which
can directly acquire high-accuracy and dense building roof data. Thus, airborne LiDAR has …

Automatic 2D modelling of inner roof planes boundaries starting from Lidar data

F Tarsha Kurdi, M Awrangjeb… - ISPRS Annals of the …, 2019 - isprs-annals.copernicus.org
Despite the large quantity of researches and publications achieved during the last three
decades about 3D building modelling by using Lidar data, the question of inner roof plane …

[PDF][PDF] Sentinel-2 MSI data for active fire detection in major fire-prone biomes: A multi-criteria approach

X Hu, Y Ban, A Nascetti - International Journal of Applied Earth …, 2021 - lirias.kuleuven.be
ABSTRACT Sentinel-2 MultiSpectral Instrument (MSI) data exhibits the great potential of
enhanced spatial and temporal coverage for monitoring biomass burning which could …

Automated building footprint and 3d building model generation from lidar point cloud data

FT Kurdi, M Awrangjeb… - 2019 Digital Image …, 2019 - ieeexplore.ieee.org
Although much effort has been spent in developing a stable algorithm for 3D building
modelling from Lidar data, this topic still attracts a lot of attention in the literature. A key task …