0000000001259018

AUTHOR

Sajid Anwar

0000-0003-3393-1656

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Fusion of CNN and sparse representation for threat estimation near power lines and poles infrastructure using aerial stereo imagery

2021

Abstract Fires or electrical hazards and accidents can occur if vegetation is not controlled or cleared around overhead power lines, resulting in serious risks to people and property and significant costs to the community. There are numerous blackouts due to interfering the trees with the power transmission lines in hilly and urban areas. Power distribution companies are facing a challenge to monitor the vegetation to avoid blackouts and flash-over threats. Recently, several methods have been developed for vegetation monitoring; however, existing methods are either not accurate or could not provide better disparity map in the textureless region. Moreover, are not able to handle depth discon…

business.industryComputer science020209 energy05 social sciences02 engineering and technologySparse approximationBelief propagationConvolutional neural networkDynamic programmingDiscontinuity (linguistics)Electric power transmissionManagement of Technology and Innovation0502 economics and business0202 electrical engineering electronic engineering information engineeringmedicineOverhead (computing)Computer visionArtificial intelligenceBusiness and International Managementmedicine.symptombusinessVegetation (pathology)050203 business & managementApplied PsychologyTechnological Forecasting and Social Change
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