WS-Net: Weak-Signal Representation Learning and Gated Abundance Reconstruction for Hyperspectral Unmixing via State-Space and Weak Signal Attention Fusion

WS-Net: Weak-Signal Representation Learning and Gated Abundance Reconstruction for Hyperspectral Unmixing via State-Space and Weak Signal Attention Fusion explores WS-Net is a deep unmixing framework that enhances weak spectral responses in hyperspectral images through advanced attention mechanisms.. Commercial viability score: 4/10 in Hyperspectral Imaging.