Ganghui Fan

Robust Graph Autoencoder for Hyperspectral Anomaly Detection

Autoencoder can not only extract features in an unsupervised manner, but also selects samples out that differs significantly from others. However, autoencoder is sensitive to noise and anomalies during training, and the relationships between pixels are discarded. In order to tackle these problems, w…