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In this paper, we present a study of daylight EL acquisition and the results of a sunlight variation study in a scenario necessary to assure the increase of EL image quality with denoising by averaging for the robustness of the drone system when bright and intermittently cloudy days occur. It was verified that the indicator of image quality based on the signal-to-noise ratio of EL images has a linear behavior with the amount of averaged images when there is no sun variation. When there are sun irradiance variation, it is observed that the quality decrease even with the increased number of images being averaged, turning to increase again only with further additional images.
|Title of host publication||Proceedings of 36th European Photovoltaic Solar Energy Conference and Exhibition|
|Publication status||Published - 2019|
|Event||36th European Photovoltaic Solar Energy Conference and Exhibition - Marseille, France|
Duration: 9 Sept 2019 → 13 Sept 2019
Conference number: 36
|Conference||36th European Photovoltaic Solar Energy Conference and Exhibition|
|Period||09/09/2019 → 13/09/2019|
- Electroluminescence imaging
- PV inspections
- Fault detection
- Image processing
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- 1 Finished
Poulsen, P. B., Thorsteinsson, S., Forchhammer, S., Benatto, G. A. D. R., Riedel-Lyngskær, N. C., Thorseth, A., Dam-Hansen, C. & Mantel, C.
01/01/2017 → 31/12/2019