Joint Classification Network via Superpixel-Guided Prototypical Feature for Hyperspectral and LiDAR Data
In recent years, convolutional neural networks-based methods have been extensively applied to hyperspectral image (HSI) and light detection and ranging (LiDAR) joint classification. However, most existing methods rely on fixed sliding windows for local feature extraction, making them susceptible to heterogeneous pixel...