MCIB: Multi-Modal Complementary Information Bottleneck for Hyperspectral and LiDAR Classification

The effective fusion of multi-modal remote sensing images, particularly hyperspectral imagery (HSI) and light detection and ranging (LiDAR) data, is pivotal for accurate land use and land cover (LULC) classification. However, this process is hindered by two inherent challenges: pervasive data redundancy and the underutilization of cross-modal complementarity, largely due to the lack of a unifying theoretical framework. To address these limitations, we propose the multi-modal complementary inform