EKGNet combines a context-aware mapping network with K dynamically weighted 3D expert convolution kernels in a 3D-DenseNet, reporting overall accuracies around 99.8 to 99.98 percent on Indian Pines, Pavia University, and KSC under the authors' chosen splits.
3d wavelet convolutions with extended receptive fields for hyperspectral image classification, 2025
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Expert Kernel Generation Network Driven by Contextual Mapping for Hyperspectral Image Classification
EKGNet combines a context-aware mapping network with K dynamically weighted 3D expert convolution kernels in a 3D-DenseNet, reporting overall accuracies around 99.8 to 99.98 percent on Indian Pines, Pavia University, and KSC under the authors' chosen splits.