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End-to-End Unmixing with Material Prompts for Hyperspectral Object Tracking
Xu Han, Mohammad Aminul Islam, Lei Wang +5
Hyperspectral imagery encodes rich material properties that can improve tracking robustness under appearance ambiguity, illumination change, and background clutter. However, due to…
Implicit spatial-frequency fusion of hyperspectral and lidar data via kolmogorov-arnold networks
Zekun Long, Judy X. Yang, Jing Wang +3
Hyperspectral image (HSI) classification is challenging in complex scenes due to spectral ambiguity, spatial heterogeneity, and the strong coupling between material properties and…
A Weak-Signal-Aware Framework for Subsurface Defect Detection: Mechanisms for Enhancing Low-SCR Hyperbolic Signatures
Wenbo Zhang, Zekun Long, Zican Liu +2
Subsurface defect detection via Ground Penetrating Radar is challenged by "weak signals" faint diffraction hyperbolas with low signal-to-clutter ratios, high wavefield similarity,…
WS-Net: Weak-Signal Representation Learning and Gated Abundance Reconstruction for Hyperspectral Unmixing via State-Space and Weak Signal Attention Fusion
Zekun Long, Ali Zia, Guanyiman Fu +2
Weak spectral responses in hyperspectral images are often obscured by dominant endmembers and sensor noise, resulting in inaccurate abundance estimation. This paper introduces WS-N…