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Saeid Homayouni

Biographic Data

ID3063363
NAMESaeid Homayouni
GIVEN NAMESSaeid
FAMILY NAMEHomayouni
SIGNATUREHOMAYOUNI S
AFFILIATIONSInstitut National de la Recherche Scientifique
ORCID0000-0002-0214-5356
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS1
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2023
H-INDEX1
  • An enhanced descriptor extraction algorithm for power line detection from point clouds

    Open Access•Danesh Shokri, Heidar Rastiveis et al.•ARTICLE•Geographical Research•2023•Cited by: 1•References: 49

    Mobile terrestrial laser scanning (MTLS) systems provide a safe and efficient means to survey roadway corridors at high speed. MTLS point clouds are rich in planimetric data. However, manual extraction of useful information from these point clouds can be time consuming and laborious and automated object extraction from MTLS point clouds has become a hot topic in the remote sensing community. This study proposes an automated method for power line …

  • An enhanced descriptor extraction algorithm for power line detection from point clouds

    Open Access•Danesh Shokri, Heidar Rastiveis et al.•ARTICLE•Geographical Research•2023•Cited by: 1•References: 49

    Mobile terrestrial laser scanning (MTLS) systems provide a safe and efficient means to survey roadway corridors at high speed. MTLS point clouds are rich in planimetric data. However, manual extraction of useful information from these point clouds can be time consuming and laborious and automated object extraction from MTLS point clouds has become a hot topic in the remote sensing community. This study proposes an automated method for power line …

  • An enhanced descriptor extraction algorithm for power line detection from point clouds

    Open Access•Danesh Shokri, Heidar Rastiveis et al.•ARTICLE•Geographical Research•2023•Cited by: 1•References: 49

    Mobile terrestrial laser scanning (MTLS) systems provide a safe and efficient means to survey roadway corridors at high speed. MTLS point clouds are rich in planimetric data. However, manual extraction of useful information from these point clouds can be time consuming and laborious and automated object extraction from MTLS point clouds has become a hot topic in the remote sensing community. This study proposes an automated method for power line …

3D Surveying and Cultural Heritage (1 work) · Algorithm (1 work) · Artificial Intelligence (1 work) · Artificial neural network (1 work) · Computer Science (1 work) · Data mining (1 work) · Data pre-processing (1 work) · Feature extraction (1 work) · Image and Object Detection Techniques (1 work) · Multilayer perceptron (1 work)

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