Semantic Segmentation of Solar PV Panels and Wind Turbines in Satellite Images Using U-Net

Author:

Darapaneni Narayana1,Jagannathan A2,Natarajan Vigneshwaran3,Swaminathan Guruprasadh Vadakkupattu2,Subramanian S2,Paduri Anwesh Reddy3

Affiliation:

1. Director - AIML Great Learning/Northwestern niversity,Illinois,USA

2. Student - AIML Great Learning,Chennai,India

3. Research Assistant - AIML Great Learning,Mumbai,India

Publisher

IEEE

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Enhancing Wind Turbine Location Accuracy: a Deep Learning-Based Object Regression Approach for Validating Wind Turbine Geo-Coordinates;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

2. Accurate Semantic Segmentation of Aerial Imagery Using Attention Res U-Net Architecture;2024 International Conference on Emerging Smart Computing and Informatics (ESCI);2024-03-05

3. IoT System Based on Artificial Intelligence for Hot Spot Detection in Photovoltaic Modules for a Wide Range of Irradiances;Sensors;2023-07-28

4. Ice Sleeves on Overhead Power Lines: a Deep Learning Approach for Semantic Segmentation;2023 IEEE International Conference on Environment and Electrical Engineering and 2023 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe);2023-06-06

5. Revealing a Shift in Solar Photovoltaic Planning Sites in Vietnam from 2019 to 2022;Remote Sensing;2023-05-25

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