Understanding rooftop PV panel semantic segmentation of satellite and aerial images for better using machine learning

Understanding rooftop PV panel semantic segmentation of satellite and aerial images for better using machine learning

The photovoltaic (PV) industry boom and increased PV applications call for better planning based on accurate and updated data on the installed capacity. Compared with the manual statistical approach, which is often time-consuming and labor-intensive, using satellite/aerial images to estimate the exi...

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Bibliographic Details
Main Authors: Peiran Li, Haoran Zhang, Zhiling Guo, Suxing Lyu, Jinyu Chen, Wenjing Li, Xuan Song, Ryosuke Shibasaki, Jinyue Yan
Format: Article
Language:English
Published: Elsevier 2021-11-01
Series:Advances in Applied Energy
Subjects:
PV
Computer vision
Deep learning
Satellite and aerial image
Semantic segmentation
Online Access:http://www.sciencedirect.com/science/article/pii/S2666792421000494

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