Electroluminescence defect image augmentation method of solar cell based on cycleGAN
Image Enhancement|更新时间:2024-08-16
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Electroluminescence defect image augmentation method of solar cell based on cycleGAN
“In the field of automatic recognition of electroluminescence defects in photovoltaic modules, researchers used cycleGAN to generate EL defect images of solar cells, and verified the significant advantages of cycleGAN in image validity, similarity, and diversity through comparative experiments with DCGAN, providing an effective solution for research in this field.”
Chinese Journal of Liquid Crystals and DisplaysVol. 39, Issue 8, Pages: 1057-1069(2024)
作者机构:
福建省计量科学研究院 国家光伏产业计量测试中心, 福建 福州 350003
福建省计量科学研究院 福建省能源计量重点实验室, 福建 福州 350003
作者简介:
基金信息:
Science and Technology Plan of State Administration for Market Regulation of China(2021MK050)
HE Xiang, YANG Aijun, LI Jiansheng, et al. Electroluminescence defect image augmentation method of solar cell based on cycleGAN[J]. Chinese Journal of Liquid Crystals and Displays, 2024, 39(8): 1057-1069.
DOI:
HE Xiang, YANG Aijun, LI Jiansheng, et al. Electroluminescence defect image augmentation method of solar cell based on cycleGAN[J]. Chinese Journal of Liquid Crystals and Displays, 2024, 39(8): 1057-1069. DOI: 10.37188/CJLCD.2023-0234.
Electroluminescence defect image augmentation method of solar cell based on cycleGAN