Unmanned aerial vehicle (UAV)-Based pavement image stitching without occlusion, crack semantic segmentation, and quantification

J Shan, W Jiang, Y Huang, D Yuan… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Unmanned Aerial Vehicle (UAV)-based pavement distress detection offers efficient and safe
advantages. However, obstructions from road vehicles and the slender shape of cracks in …

[HTML][HTML] A New Precise Point Positioning with Ambiguity Resolution (PPP-AR) Approach for Ground Control Point Positioning for Photogrammetric Generation with …

HB Makineci, B Bilgen, S Bulbul - Drones, 2024 - mdpi.com
Unmanned aerial vehicles (UAVs) are now widely preferred systems that are capable of
rapid mapping and generating topographic models with relatively high positional accuracy …

Advancing Tree Detection in Forest Environments: A Deep Learning Object Detector Approach with UAV LiDAR Data

S Jarahizadeh, B Salehi - Urban Forestry & Urban Greening, 2025 - Elsevier
The initial phase in determining tree parameters within urban and forest environments is
Individual Tree Detection (ITD), which includes tree count, spatial distribution, height …

[HTML][HTML] Improved Estimation of Aboveground Biomass in Rubber Plantations Using Deep Learning on UAV Multispectral Imagery

H Tan, W Kou, W Xu, L Wang, H Wang, N Lu - Drones, 2025 - mdpi.com
The accurate estimation of aboveground biomass (AGB) in rubber plantations is essential for
predicting rubber production and assessing carbon storage. Multispectral sensors mounted …

Enhanced interpretation of green space surface for land surface temperature through a novel voxel-based landscape index from UAV LiDAR

L Zhou, X Li, Z Huang, C Tan, H Huang, H Du - Urban Forestry & Urban …, 2025 - Elsevier
Urban forests are important for effectively mitigating urban heat island (UHI) effects.
However, thorough investigations into how the three-dimensional (3D) structures of urban …

[HTML][HTML] Ultralight aircraft and conventional digital cameras as an alternative for urban mapping

RE Parra-Galaviz, M de Jesús Pérez-Valdez… - Transportation Research …, 2025 - Elsevier
Mapping plays a crucial role in urban planning by assisting authorities in making informed
decisions regarding city growth and infrastructure placement. Unmanned Aerial Vehicles …

[HTML][HTML] CPH-Fmnet: An Optimized Deep Learning Model for Multi-View Stereo and Parameter Extraction in Complex Forest Scenes

L Dai, Z Chen, X Zhang, D Wang, L Huo - Forests, 2024 - mdpi.com
The three-dimensional reconstruction of forests is crucial in remote sensing technology,
ecological monitoring, and forestry management, as it yields precise forest structure and tree …

[HTML][HTML] Assessing Geometric and Radiometric Accuracy of DJI P4 MS Imagery Processed with Agisoft Metashape for Shrubland Mapping

TW da Silva, L Gomes Pereira, BRF Oliveira - Remote Sensing, 2024 - mdpi.com
The rise in inexpensive Unmanned Aerial Systems (UAS) and accessible processing
software offers several advantages in forest ecosystem monitoring and management. The …

Strategic Integration of Drone Technology and Digital Twins for Optimal Construction Project Management

T Salem, M Dragomir, E Chatelet - Applied Sciences, 2024 - mdpi.com
This research aims to develop an integrated approach to construction project management
by integrating digital technology into monitoring and surveillance operations. Through the …

Deep Learning Analysis of UAV Lidar Point Cloud for Individual Tree Detecting

S Jarahizadeh, B Salehi - IGARSS 2024-2024 IEEE …, 2024 - ieeexplore.ieee.org
In this paper, we address the important task of Individual Tree Detection (ITD) in forest
environments for enabling tree parameter estimation including tree count, height, volume …