 The proposed method uses rotation-invariant uniform local binary pattern, RULBP, features and a graph-based masked autoencoder to reduce the need for labeled data when classifying hyperspectral images. This allows for better performance with fewer labeled samples than other methods. This article was authored by Winkai Lu, Bing Lu, Pei Pei He and others.