Rotation-Based Deep Forest for Hyperspectral Imagery Classification

In recent years, deep learning methods have been widely used for the classification of hyperspectral images (HSIs). However, the training of deep models is very time-consuming. In addition, the rare labeled samples of remote sensing images also limit the classification performance of deep models. In this letter, a simple deep learning model, a rotation-based deep forest (RBDF), is proposed for the...