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Monitoring vegetation encroachment under overhead high voltage power line is a challenging problem for electricity distributioncompanies. Absence of proper monitoring could result in damage to the power lines and consequently cause blackout. This willaffect electric power supply to industries, businesses, and daily life. Therefore, to avoid the blackouts, it is mandatory to monitor thevegetation/trees near power transmission lines. Unfortunately, the existing approaches are more time consuming and expensive. Inthis paper, we have proposed a novel approach to monitor the vegetation/trees near or under the power transmission poles usingsatellite stereo images, which were acquired using Pleiades satellites. The 3D depth of vegetation has been measured near powertransmission lines using stereo algorithms. The area of interest scanned by Pleiades satellite sensors is 100 square kilometer. Ourdataset covers power transmission poles in a state called Sabah in East Malaysia, encompassing a total of 52 poles in the area of 100km. We have compared the results of Pleiades satellite stereo images using dynamic programming and Graph-Cut algorithms,consequently comparing satellites’ imaging sensors and Depth-estimation Algorithms. Our results show that Graph-Cut Algorithmperforms better than dynamic programming (DP) in terms of accuracy and speed

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

Vegetation Height Estimation Near Power transmission poles Via satellite Stereo Images using 3D Depth Estimation Algorithms