LSLFormer: A Lightweight Spectral–LiDAR Fusion Network for Remote Sensing Image Classification (opens in new tab)

The fusion of hyperspectral images (HSIs) and light detection and ranging (LiDAR) data provides rich complementary spectral and elevation information for land cover classification. However, existing fusion methods, particularly Transformer-based models, are often constrained by high computational costs and complex cross-modal interaction mechanisms. To address this challenge, we propose a lightweight spectral–LiDAR fusion network (LSLFormer), which aims to achieve efficient and accurate remot...