Fayez Tarsha Kurdi

Orcid: 0000-0003-4952-4350

According to our database1, Fayez Tarsha Kurdi authored at least 14 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2024
Assessment of NavVis VLX and BLK2GO SLAM Scanner Accuracy for Outdoor and Indoor Surveying Tasks.
Remote. Sens., September, 2024

Accurate Calculation of Upper Biomass Volume of Single Trees Using Matrixial Representation of LiDAR Data.
Remote. Sens., June, 2024

Three-Dimensional Modeling and Visualization of Single Tree LiDAR Point Cloud Using Matrixial Form.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

2023
Contribution of Geometric Feature Analysis for Deep Learning Classification Algorithms of Urban LiDAR Data.
Sensors, September, 2023

Modeling Multi-Rotunda Buildings at LoD3 Level from LiDAR Data.
Remote. Sens., July, 2023

2022
Comparative Approach of Unmanned Aerial Vehicle Restrictions in Controlled Airspaces.
Remote. Sens., 2022

3D LoD2 and LoD3 Modeling of Buildings with Ornamental Towers and Turrets Based on LiDAR Data.
Remote. Sens., 2022

Automatic Filtering of Lidar Building Point Cloud in Case of Trees Associated to Building Roof.
Remote. Sens., 2022

Review of Automatic Processing of Topography and Surface Feature Identification LiDAR Data Using Machine Learning Techniques.
Remote. Sens., 2022

2021
Automatic filtering and 2D modeling of airborne laser scanning building point cloud.
Trans. GIS, 2021

Effective Selection of Variable Point Neighbourhood for Feature Point Extraction from Aerial Building Point Cloud Data.
Remote. Sens., 2021

Full Series Algorithm of Automatic Building Extraction and Modelling From LiDAR Data.
Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021

Building Boundary Extraction from LiDAR Point Cloud Data.
Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021

2019
Automated Building Footprint and 3D Building Model Generation from Lidar Point Cloud Data.
Proceedings of the 2019 Digital Image Computing: Techniques and Applications, 2019


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