1 research outputs found
A Review of Vegetation Encroachment Detection in Power Transmission Lines using Optical Sensing Satellite Imagery
Vegetation encroachment in power transmission lines can cause outages, which
may result in severe impact on economic of power utilities companies as well as
the consumer. Vegetation detection and monitoring along the power line corridor
right-of-way (ROW) are implemented to protect power transmission lines from
vegetation penetration. There were various methods used to monitor the
vegetation penetration, however, most of them were too expensive and time
consuming. Satellite images can play a major role in vegetation monitoring,
because it can cover high spatial area with relatively low cost. In this paper,
the current techniques used to detect the vegetation encroachment using
satellite images are reviewed and categorized into four sectors; Vegetation
Index based method, object-based detection method, stereo matching based and
other current techniques. However, the current methods depend usually on
setting manually serval threshold values and parameters which make the
detection process very static. Machine Learning (ML) and deep learning (DL)
algorithms can provide a very high accuracy with flexibility in the detection
process. Hence, in addition to review the current technique of vegetation
penetration monitoring in power transmission, the potential of using Machine
Learning based algorithms are also included.Comment: 7 pages, 7 figures , 2 Table