AI RESEARCH
Boosting Multimodal Remote Sensing Image Classification with Transformer-based Heterogeneously Salient Graph Representation
arXiv CS.CV
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ArXi:2311.10320v3 Announce Type: replace 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.