DE-CFFN modifies an existing dual-stream CFFN architecture with Factor Analysis dimensionality reduction and halved 3D convolution filters plus an SE block to match original accuracy at lower complexity on Pavia University and Salinas datasets.
HybridSN: Exploring 3-D–2-D CNN feature hierarchy for Hyperspectral Image Classification , url =
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Data Efficient Complex Feature Fusion Network For Hyperspectral Image Classification
DE-CFFN modifies an existing dual-stream CFFN architecture with Factor Analysis dimensionality reduction and halved 3D convolution filters plus an SE block to match original accuracy at lower complexity on Pavia University and Salinas datasets.