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Found 3 papers, 3 papers with code
SDF2Net: Shallow to Deep Feature Fusion Network for PolSAR Image Classification
Polarimetric synthetic aperture radar (PolSAR) images encompass valuable information that can facilitate extensive land cover interpretation and generate diverse output products.
Attention based Dual-Branch Complex Feature Fusion Network for Hyperspectral Image Classification
Experimental evidence show that SE block improves the models overall accuracy by almost 1\%.
Operational Neural Networks for Parameter-Efficient Hyperspectral Single-Image Super-Resolution
This work focuses on extending the convolutional filters of a popular super-resolution model to more powerful operational filters to enhance the model performance on hyperspectral images.
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