Li, Q., Krapf, S., Shi, Y., & Zhu, X. X. (2023). SolarNet: A convolutional neural network-based framework for rooftop solar potential estimation from aerial imagery. International journal of applied earth observation and geoinformation, 116, 103098. https://doi.org/10.1016/j.jag.2022.103098
Chicago Style (17th ed.) CitationLi, Qingyu, Sebastian Krapf, Yilei Shi, and Xiao Xiang Zhu. "SolarNet: A Convolutional Neural Network-based Framework for Rooftop Solar Potential Estimation from Aerial Imagery." International Journal of Applied Earth Observation and Geoinformation 116 (2023): 103098. https://doi.org/10.1016/j.jag.2022.103098.
MLA (9th ed.) CitationLi, Qingyu, et al. "SolarNet: A Convolutional Neural Network-based Framework for Rooftop Solar Potential Estimation from Aerial Imagery." International Journal of Applied Earth Observation and Geoinformation, vol. 116, 2023, p. 103098, https://doi.org/10.1016/j.jag.2022.103098.