Fayez Tarsha Kurdi - Google Scholar
Articles 1–20. Adjunct Lecturer and Research Assistant, University of Southern Queensland - Cited by 1,242 - LIDAR - Rotating surfaces - Laser Scanning - Point cloud - Automatic building modeling .
Fayez Tarsha Kurdi (0000-0003-4952-4350) - ORCID
Accurate Calculation of Upper Biomass Volume of Single Trees Using Matrixial Representation of LiDAR Data. Remote Sensing. 2024-06 | Journal article | Author. DOI: 10.3390/rs16122220. Contributors: Fayez Tarsha Kurdi; Elżbieta Lewandowicz; Zahra Gharineiat; Jie Shan. Show more detail. Source: check_circle.
Dr Fayez Tarsha Kurdi - University College of Southern Queensland
Dr Fayez Tarsha Kurdi. Research Career. The University of Southern Queensland acknowledges the traditional custodians of the lands and waterways where the University is located. Further, we acknowledge the cultural diversity of Aboriginal and Torres Strait Islander peoples and pay respect to Elders past, present and future.
Dr Fayez Tarsha Kurdi : University of Southern Queensland …
Dr Fayez Tarsha Kurdi. Email Address. fayez.tarshakurdi@unisq.edu.au. Job Title. Casual Employment. Qualifications. PhD Strasbourg. Department. School of Surveying and Built Environment.
Three-Dimensional Modeling and Visualization of Single Tree …
Tarsha Kurdi, Fayez, Gharineiat, Zahra, Campbell, Glenn, Dey, Emon Kumar and Awrangjeb, Mohammad. 2021. "Full series algorithm of automatic building extraction and modelling from LiDAR data."
Efficiency of Terrestrial Laser Scanning in Survey Works: …
2023年12月6日 · Efficiency of Terrestrial Laser Scanning in Survey Works: Assessment, Modelling, and Monitoring. Fayez Tarsha Kurdi, Paul Reed, Zahra Gharineiat, Mohammad Awrangjeb. Nowadays, static, mobile, terrestrial, and airborne laser scanning technologies have become familiar data sources for engineering work, especially in the area of land surveying.
Automatic filtering and 2D modeling of airborne laser scanning …
2020年9月11日 · 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 the building point cloud using the bias of the Z -coordinate histogram. This operation aims to detect the points of roof class from the building point cloud.
F. Tarsha-Kurdi - Semantic Scholar
Semantic Scholar profile for F. Tarsha-Kurdi, with 30 highly influential citations and 8 scientific research papers.
Random Forest Machine Learning Technique for Automatic …
Fayez Tarsha Kurdi. Environmental Science, Computer Science. International Journal of Environmental Sciences… 2023. TLDR. This paper adapts the deep learning pipeline algorithm based on the Multi-Layer Perceptron (MLP) Neural Network to automatically classify the forest LiDAR point cloud into two classes: vegetation and terrain. Expand. 3. [PDF]
Fayez Tarsha Kurdi - School of Civil Engineering and Surveying ...
View Fayez Tarsha Kurdi’s profile on LinkedIn, a professional community of 1 billion members. Experience: School of Civil Engineering and Surveying University of Southern Queensland · Location:...
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