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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLVI-4/W3-2021
https://doi.org/10.5194/isprs-archives-XLVI-4-W3-2021-239-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/isprs-archives-XLVI-4-W3-2021-239-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
11 Jan 2022
| 11 Jan 2022
MACHINE LEARNING APPROACH FOR TENAGA NASIONAL BERHAD (TNB) OVERHEAD POWERLINE AND ELECTRICITY POLE INVENTORY USING MOBILE LASER SCANNING DATA
M. S. A. Mohd Rapheal
Project GIS, Distribution Network, Tenaga Nasional Berhad, Universiti Tenaga Nasional, Kajang, Selangor, Malaysia
A. Farhana
Department of Geoinformation, Faculty of Built Environment and Surveying, Universiti Teknologi Malaysia, Johor, Malaysia
M. R. Mohd Salleh
Department of Geoinformation, Faculty of Built Environment and Surveying, Universiti Teknologi Malaysia, Johor, Malaysia
M. Z. Abd Rahman
Department of Geoinformation, Faculty of Built Environment and Surveying, Universiti Teknologi Malaysia, Johor, Malaysia
Z. Majid
Department of Geoinformation, Faculty of Built Environment and Surveying, Universiti Teknologi Malaysia, Johor, Malaysia
I. A. Musliman
Department of Geoinformation, Faculty of Built Environment and Surveying, Universiti Teknologi Malaysia, Johor, Malaysia
A. F. Abdullah
Department of Biological and Agricultural Engineering, Faculty of Engineering, Universiti Putra Malaysia, 43400, Serdang, Malaysia
Z. Abd Latif
Faculty of Architecture, Planning and Surveying, Universiti Teknologi MARA, Selangor, Malaysia
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The International Society for Photogrammetry and Remote Sensing is a non-governmental organization devoted to the development of international cooperation for the advancement of photogrammetry and remote sensing and their applications. The Society operates without any discrimination on grounds of race, religion, nationality, or political philosophy.
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