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Open Geosciences • Vol 16 • No 1
A method for fast detection of wind farms from remote sensing images using deep learning and geospatial analysis
January 2024 • Deliang Chen, Taotao Cheng, Yanyan Lu, Jianbo Xiao, Chen Ji, Siyu Hong, Qizhi Zhuang, Liang Cheng
Abstract The wind power industry is increasing worldwide every year. Thus, obtaining timely and detailed information on wind farms’ number and spatial distribution is critical for quantitatively estimating wind energy utilization and for planning the construction of new wind farms. Therefore, this study proposes a method for quickly identifying wind farms in a large-scale area. Given that wind farms mainly comprise individual objects such as wind turbines and substations, we labeled sample images of wind turbines …
Spatial Analysis
Remote Sensing
Deep Learning
Computer Science
Geomatics
Environmental Science
Artificial Intelligence