Hyperspectral image (HSI) classification has recently been successfully explored by using deep learning (DL) methods. However, DL models rely heavily on a large number of labeled samples, which are laborious to obtain. Therefore, finding way efficiently embed in limited samples is hot topic the field HSI classification. In this paper, an active learning-based siamese network (ALSN) proposed sol...