Representative Spectral Correlation Network for Multisource Remote Sensing Image Classification (opens in new tab)

Hyperspectral image (HSI) and synthetic aperture radar (SAR)/light detection and ranging (LiDAR) data offer complementary spectral and structural information for land-cover classification. However, their effective fusion remains challenging due to two major limitations: the spectral redundancy in high-dimensional HSI and the heterogeneous characteristics between multisource data. To this end, we propose a representative spectral correlation network (RSCNet), a novel multisource image classifi...