Enhancing PV panel segmentation in remote sensing images with constraint refinement modules
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DOI: 10.1016/j.apenergy.2023.121757
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- Mao, Hongzhi & Chen, Xie & Luo, Yongqiang & Deng, Jie & Tian, Zhiyong & Yu, Jinghua & Xiao, Yimin & Fan, Jianhua, 2023. "Advances and prospects on estimating solar photovoltaic installation capacity and potential based on satellite and aerial images," Renewable and Sustainable Energy Reviews, Elsevier, vol. 179(C).
- L. Kruitwagen & K. T. Story & J. Friedrich & L. Byers & S. Skillman & C. Hepburn, 2021. "A global inventory of photovoltaic solar energy generating units," Nature, Nature, vol. 598(7882), pages 604-610, October.
- Cavieres, Robinson & Barraza, Rodrigo & Estay, Danilo & Bilbao, José & Valdivia-Lefort, Patricio, 2022. "Automatic soiling and partial shading assessment on PV modules through RGB images analysis," Applied Energy, Elsevier, vol. 306(PA).
- Malof, Jordan M. & Bradbury, Kyle & Collins, Leslie M. & Newell, Richard G., 2016. "Automatic detection of solar photovoltaic arrays in high resolution aerial imagery," Applied Energy, Elsevier, vol. 183(C), pages 229-240.
- Chapman, Andrew J. & McLellan, Benjamin & Tezuka, Tetsuo, 2016. "Residential solar PV policy: An analysis of impacts, successes and failures in the Australian case," Renewable Energy, Elsevier, vol. 86(C), pages 1265-1279.
- Zhong, Qing & Nelson, Jake R. & Tong, Daoqin & Grubesic, Tony H., 2022. "A spatial optimization approach to increase the accuracy of rooftop solar energy assessments," Applied Energy, Elsevier, vol. 316(C).
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- Guo, Zhiling & Zhuang, Zhan & Tan, Hongjun & Liu, Zhengguang & Li, Peiran & Lin, Zhengyuan & Shang, Wen-Long & Zhang, Haoran & Yan, Jinyue, 2023. "Accurate and generalizable photovoltaic panel segmentation using deep learning for imbalanced datasets," Renewable Energy, Elsevier, vol. 219(P1).
- Yang, Ruiqing & He, Guojin & Yin, Ranyu & Wang, Guizhou & Zhang, Zhaoming & Long, Tengfei & Peng, Yan, 2024. "Weakly-semi supervised extraction of rooftop photovoltaics from high-resolution images based on segment anything model and class activation map," Applied Energy, Elsevier, vol. 361(C).
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Keywords
Photovoltaic panels; Segmentation; Prior knowledge; Common features; Constraint refinement module;All these keywords.
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