The automatic segmentation of residential solar panels based on satellite images: A cross learning driven U-Net method

• Published in: Applied soft computing Vol. 92; p. 106283
• Main Authors: Zhuang, Li, Zhang, Zijun, Wang, Long
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.07.2020
• Subjects: Computational intelligence; Data mining; Neural networks; Satellite images; Solar panels; Satellite images; Data mining; Solar panels; Neural networks; Computational intelligence

Segmenting small-scale residential solar panels (RSPs) based on satellite images is an emerging data science problem in the renewable energy field. In this paper, we develop a cross learning driven U-Net (CrossNets) method and its extension, adaptive CrossNets, to automatically segment RSPs in satel...