IFGNet replaces fixed activations with KAN splines and adds LiDAR-guided implicit aggregation in spatial and frequency domains, reporting higher overall accuracy, average accuracy, and Kappa than prior fusion methods on the Houston 2013 and MUUFL benchmarks.
Global– local transformer network for hsi and lidar data joint classification,
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Implicit spatial-frequency fusion of hyperspectral and lidar data via kolmogorov-arnold networks
IFGNet replaces fixed activations with KAN splines and adds LiDAR-guided implicit aggregation in spatial and frequency domains, reporting higher overall accuracy, average accuracy, and Kappa than prior fusion methods on the Houston 2013 and MUUFL benchmarks.