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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Ze-Bin Wu

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3 papers indexed here

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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
Sep 2026

Spectral Manifold Variational Network for Hyperspectral Superresolution With Spectral Variability.

Given the inherent tradeoff between spectral and spatial resolution, hyperspectral images (HSIs) typically exhibit insufficient spatial details. Combining the HSI with a corresponding high spatial resolution conventional imagery serves as a compromised alternative to produce a high-quality HSI. While fusion-based HSI s...

Fei Ye, Peng Zheng, Yang Xu et al. · 0 citations
Open access 2026

Global Spatial–Spectral and Frequency-Domain Mamba for Hyperspectral Change Detection

Hyperspectral image plays an indispensable role in the field of change detection, yet its application still faces numerous challenges. On one hand, traditional attention mechanisms are often constructed based on local information, making them prone to overlooking long-range contextual relationships hidden within global...

Bingcheng Shi, Jiajun Qiao, Qiaolin Ye et al. · 0 citations

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