Fayez Tarsha Kurdi

Adjunct Lecturer

University of Southern Queensland

Australia

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Fayez Tarsha Kurdi is an Adjunct Lecturer at the University of Southern Queensland, Australia. His research focuses on applications of LiDAR data in fields such as building modeling, biomass measurement, and accuracy assessment of surveying technologies. Recent articles highlight advancements in high-resolution mapping, machine learning segmentation, and three-dimensional modeling techniques within urban environments.

Articles (16)

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2025

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2024

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2022

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2021

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2021

Collaborators (5)

Mohammad Awrangjeb

Senior Lecturer

Griffith University

AUSTRALIA

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Emon Kumar Dey

Griffith University

AUSTRALIA

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Zahra Gharineiat

Senior Lecturer

University of Southern Queensland - Springfield Campus

AUSTRALIA

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Jie Shan

Purdue University

UNITED STATES

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Elżbieta Lewandowicz

prof. UWM

University of Warmia and Mazury in Olsztyn

POLAND

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Fayez Tarsha Kurdi

Research Interests

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Articles (16)

High-Resolution Building Indicator Mapping Using Airborne LiDAR Data

Accurate Calculation of Upper Biomass Volume of Single Trees Using Matrixial Representation of LiDAR Data

Modeling the Geometry of Tree Trunks Using LiDAR Data

Three-Dimensional Modeling and Visualization of Single Tree LiDAR Point Cloud Using Matrixial Form

Assessment of NavVis VLX and BLK2GO SLAM Scanner Accuracy for Outdoor and Indoor Surveying Tasks

Machine learning-based segmentation of aerial LiDAR point cloud data on building roof

Contribution of Geometric Feature Analysis for Deep Learning Classification Algorithms of Urban LiDAR Data

Modeling Multi-Rotunda Buildings at LoD3 Level from LiDAR Data

Efficiency of Terrestrial Laser Scanning in Survey Works: Assessment, Modelling, and Monitoring

Modeling the Geometry of Individual Tree Trunks Using LiDAR Data

3D LoD2 and LoD3 Modeling of Buildings with Ornamental Towers and Turrets Based on LiDAR Data

Review of Automatic Processing of Topography and Surface Feature Identification LiDAR Data Using Machine Learning Techniques

Comparative Approach of Unmanned Aerial Vehicle Restrictions in Controlled Airspaces

Automatic Filtering of Lidar Building Point Cloud in Case of Trees Associated to Building Roof

Effective Selection of Variable Point Neighbourhood for Feature Point Extraction from Aerial Building Point Cloud Data

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

Collaborators (5)

Mohammad Awrangjeb

Emon Kumar Dey

Zahra Gharineiat

Jie Shan

Elżbieta Lewandowicz

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