Development of an all-sky imaging system for cloud cover assessment.

Clicks: 333
ID: 47680
2019
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Abstract
This study develops a novel automatic all-sky imaging system, namely, an all-sky camera (ASC) system, for cloud cover assessment. The proposed system does not require conventional solar occulting devices and can capture complete hemispheric sky images. Cloud detection is performed innovatively using a convolutional neural network model (i.e., the optimized U-Net model). Experiments demonstrate that the optimized U-Net model can effectively detect clouds from sky images. In terms of cloud cover, the estimation results of the ASC system exhibit a high correlation with those obtained via manual observation, thereby indicating the applicability of the ASC system in ground-based cloud observation and analysis.
Reference Key
fa2019developmentapplied Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Fa, Tao;Xie, Wanyi;Wang, Yiren;Xia, Yingwei;
Journal Applied optics
Year 2019
DOI
10.1364/AO.58.005516
URL
Keywords
energy storage materials characterization solid state physics

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