Abstract: Multispectral LiDAR point clouds are valuable in remote sensing for their spatial–spectral consistency, yet their high acquisition and annotation costs pose significant challenges. To ...
Abstract: The fusion of hyperspectral image (HSI) and light detection and ranging (LiDAR) data leverages complementary spectral and elevation information to improve land cover classification, yet its ...
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