HSLiNet, a CNN-based HSI-LiDAR fusion model with forward and backward spectral convolutions and a spatial block, reports 96.68% OA on Houston 2013 and claims state-of-the-art efficiency.
Deep encoder– decoder networks for classification of hyperspectral and lidar data,
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HSLiNets: Hyperspectral Image and LiDAR Data Fusion Using Efficient Dual Non-Linear Feature Learning Networks
HSLiNet, a CNN-based HSI-LiDAR fusion model with forward and backward spectral convolutions and a spatial block, reports 96.68% OA on Houston 2013 and claims state-of-the-art efficiency.