Transferable network with Siamese architecture for anomaly detection in hyperspectral images

•The anomaly detection problem is transformed into the similarity metric learning problem.•An adaptive unsupervised clustering process is proposed to generate pseudo labels from unlabeled images.•Pre-training and Fine-tuning strategies are adopted to ensure the transfer capability of the network.