MACHINE LEARNING APPROACH FOR TENAGA NASIONAL BERHAD (TNB) OVERHEAD POWERLINE AND ELECTRICITY POLE INVENTORY USING MOBILE LASER SCANNING DATA

Autor: M. S. A. Mohd Rapheal, A. Farhana, M. R. Mohd Salleh, M. Z. Abd Rahman, Z. Majid, I. A. Musliman, A. F. Abdullah, Z. Abd Latif

Publikováno v: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVI-4-W3-2021, Pp 239-246 (2022)

Electricity assets recognition and inventory is a fundamental task in the geospatial-based electrical power distribution management. In Malaysia, Tenaga Nasional Berhad (TNB) aims to complete their assets inventory throughout the country by 2022. Pre

Externí odkaz: https://doaj.org/article/5a06c98fb2304b74a800d4f3d1462fc7