Integrating data processing chains and performance evaluation of power line classification algorithms

This project aims to conduct a comprehensive review of existing power line (PL) data processing procedure used in practice and to design and develop the new automatic workflow by integrating start-of-the-art algorithms with current data processing chain. This leads to the establishment of an innovative framework on automatic PL feature detection and reconstruction from LiDAR data. It will also result in a functional software module that can be demonstrated in a GUI and can be pluggable to other existing software packages. The expected benefit to the partner can be summarized as: (a) Efficiency- time and cost effective maintenance of PLs are possible by introducing automatic methods in a PL scene classification and modeling, (b) Accuracy- the proposed technique ensures that more accurate clearance quantity which threaten PL systems is determined, (c) Productivity- the new technique is expected to enhance the updating process of a geospatial database related to maiin….TOBECONTINUED

Faculty Supervisor:

Gunho Sohn

Student:

Partner:

GeoDigital International Inc

Discipline:

Earth science

Sector:

Professional, scientific and technical services

University:

York University

Program: