Deep learning (DL) has emerged as a competitive method in single-modality-dominated remote sensing (RS) data classification tasks, but its classification performance inevitably encounters a bottleneck ...

Convolutional neural network (CNN) and transformer-based hybrid models have been successfully applied to hyperspectral image (HSI) classification, enhancing the local feature extraction capability of ...

The main idea of our approach to partitioning the space of class diagrams is to consider that any UML class diagram is an instance of the UML metamodel, then identify a small number of basic template ...