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).
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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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