M. U. Hassan Et Al. , "Investigation of Terrestrial Laser Scanning Reflectance Intensity and RGB Distributions to Assist Construction Material Identification," Lean and Computing in Construction Congress - Volume 1: Proceedings of the Joint Conference on Computing in Construction , Heraklion, Greece, pp.507-515, 2017
Hassan, M. U. Et Al. 2017. Investigation of Terrestrial Laser Scanning Reflectance Intensity and RGB Distributions to Assist Construction Material Identification. Lean and Computing in Construction Congress - Volume 1: Proceedings of the Joint Conference on Computing in Construction , (Heraklion, Greece), 507-515.
Hassan, M. U., Akçamete Güngör, A., & Meral, Ç., (2017). Investigation of Terrestrial Laser Scanning Reflectance Intensity and RGB Distributions to Assist Construction Material Identification . Lean and Computing in Construction Congress - Volume 1: Proceedings of the Joint Conference on Computing in Construction (pp.507-515). Heraklion, Greece
Hassan, Muhammad, ASLI AKÇAMETE GÜNGÖR, And ÇAĞLA AKGÜL. "Investigation of Terrestrial Laser Scanning Reflectance Intensity and RGB Distributions to Assist Construction Material Identification," Lean and Computing in Construction Congress - Volume 1: Proceedings of the Joint Conference on Computing in Construction, Heraklion, Greece, 2017
Hassan, Muhammad U. Et Al. "Investigation of Terrestrial Laser Scanning Reflectance Intensity and RGB Distributions to Assist Construction Material Identification." Lean and Computing in Construction Congress - Volume 1: Proceedings of the Joint Conference on Computing in Construction , Heraklion, Greece, pp.507-515, 2017
Hassan, M. U. Akçamete Güngör, A. And Meral, Ç. (2017) . "Investigation of Terrestrial Laser Scanning Reflectance Intensity and RGB Distributions to Assist Construction Material Identification." Lean and Computing in Construction Congress - Volume 1: Proceedings of the Joint Conference on Computing in Construction , Heraklion, Greece, pp.507-515.
@conferencepaper{conferencepaper, author={Muhammad Usman Hassan Et Al. }, title={Investigation of Terrestrial Laser Scanning Reflectance Intensity and RGB Distributions to Assist Construction Material Identification}, congress name={Lean and Computing in Construction Congress - Volume 1: Proceedings of the Joint Conference on Computing in Construction}, city={Heraklion}, country={Greece}, year={2017}, pages={507-515} }