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Automatic edge identification for accurate analysis of thermographic images of solar panels

机译:用于精确分析太阳能电池板热面图像的自动边缘识别

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摘要

This paper proposes a segmentation method to analyze thermographic images of large solar fields with the aim to identify the borders of photovoltaic modules. This kind of analysis allows to correctly attribute possible faults, revealed by thermography, to a well specified solar panel. Moreover, the knowledge of the specific model of solar panel allows to bring the analysis to the single solar cell. This latter feature can help to eliminate some false positive that the mere observation of hot spots might produce.
机译:本文提出了分割方法来分析大型太阳能场的热成像,其目的是识别光伏模块的边界。这种分析允许将热成像显示出来的可能性故障,以指定的太阳能电池板。此外,太阳能电池板的特定模型的知识允许将分析带到单个太阳能电池。后一种特征可以帮助消除一些假阳性,即仅仅是对热点可能产生的影响。

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