Segmentation of cell-level anomalies in electroluminescence images of photovoltaic modules - Otamendi, Urtzi; Martinez, Iñigo; Quartulli, Marco; Olaizola, Igor G.; Viles, Elisabeth; Cambarau, Werther (Solar energy, 2021)
Keywords: Anomalies; Anomaly detection; Deep autoencoder; Deep learning; Defects; Electroluminescence; Electroluminescence images; Image acquisition; Image classification; Image processing; Image segmentation; Information processing; Machine learning; Modules; Object recognition; Photovoltaic cells; Photovoltaic modules; Photovoltaics; Pipelines; Solar energy; Spatial discrimination; Spatial resolution; Weakly supervised segmentation; Deep learning; Weakly supervised segmentation; Electroluminescence images; Photovoltaic modules; Anomaly detection; Deep autoencoder