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Author

Ya-Dang Chen

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2026

MDFPF-Net: Multidomain Feature Perceptual Fusion Network for Hyperspectral Unmixing

Hyperspectral unmixing (HU) is crucial for retrieving subpixel information. However, existing deep learning (DL) methods typically rely on original spatial–spectral information and struggle to fuse the complementary advantages of multidomain features, resulting in endmember confusion and inaccurate abundance estimation...

Xiao-Cong Wu, Le Sun, Guo-Qing Zhang et al. · 0 citations
Open access Sep 2026

Generalized quantum neural modules for high-dimensional local quantum feature learning

Together, these results delineate a practical operating regime for high-dimensional local quantum learning and show that receptive-field scaling can be managed through a coordinated choice of upload granularity, entangling structure, information retention, and execution depth.

Wen-Bin Yu, Yan-Feng Fan, You-Le Wang et al. · 0 citations

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