Boosting Multimodal Remote Sensing Image Classification With Transformer-Based Heterogeneously Salient Graph Representation (opens in new tab)

Data collected by different modalities can provide a wealth of complementary information, such as hyperspectral image (HSI) to offer rich spectral–spatial properties, synthetic aperture radar (SAR) to provide structural information about the Earth’s surface, and light detection and ranging (LiDAR) to cover altitude information about ground elevation. Therefore, a natural idea is to combine multimodal images for refined and accurate land-cover interpretation. Although many efforts have been ma...