Advanced Classification of Failure-Related Patterns on Solar Photovoltaic Farms Through Multiview Photogrammetry Thermal Infrared Sensing by Drones and Deep Learning-Reference-Cited by-同舟云学术

Advanced Classification of Failure-Related Patterns on Solar Photovoltaic Farms Through Multiview Photogrammetry Thermal Infrared Sensing by Drones and Deep Learning

Published:2023-06-12 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Future Energy Solutions (FES)
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Author:

Zefri Yahya¹,Aghaei Mohammadreza²,Hajji Hicham¹,Aniba Ghassane³,Sebari Imane¹

Affiliation:

1. School of Geomatics and Surveying Engineering, IAV Hassan II,Photogrammetry-Cartography Department,Rabat,Morocco

2. Norwegian University of Science and Technology (NTNU),Department of Ocean Operations and Civil Engineering,Alesund,Norway,6009

3. Mohammed V University in Rabat,Mohammadia School of Engineers,Rabat,Morocco

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10182286/10182373/10182940.pdf?arnumber=10182940

Reference31 articles.

1. A Review on the Use of Unmanned Aerial Vehicles and Imaging Sensors for Monitoring and Assessing Plant Stresses

2. PV system defects identification using Remotely Piloted Aircraft (RPA) based infrared (IR) imaging: A review

3. UAV- based Photogrammetry and Geocomputing for Hazards and Disaster Risk Monitoring – A Review

4. A review of UAV platforms, sensors, and applications for monitoring of sugarcane crops

5. A Brief Survey on Semantic Segmentation with Deep Learning

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