SENSE: Hyperspectral video object tracker via fusing material and motion cues

Y Chen, Q Yuan, Y Tang, Y Xiao, J He, Z Liu - Information Fusion, 2024 - Elsevier
Hyperspectral video offers a wealth of material and motion cues about objects. This
advantage proves invaluable in addressing the inherent limitations of generic RGB video …

Material-Guided Multiview Fusion Network for Hyperspectral Object Tracking

Z Li, F Xiong, J Zhou, J Lu, Z Zhao… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Hyperspectral videos (HSVs) have more potential in object tracking than color videos,
thanks to their material identification ability. Nevertheless, previous works have not fully …

Domain Adaptation-aware Transformer for Hyperspectral Object Tracking

Y Wu, L Jiao, X Liu, F Liu, S Yang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Visual object tracking in natural scenes is a popular but challenging task, owing to the
difficulties of feature representation from various changes of the targets, such as size …

A No-Reference Quality Assessment Method for Hyperspectral Sharpened Images via Benford's Law

X Hao, X Li, J Wu, B Wei, Y Song, B Li - Remote Sensing, 2024 - mdpi.com
In recent years, hyperspectral (HS) sharpening technology has received high attention and
HS sharpened images have been widely applied. However, the quality assessment of HS …

Integrating Entropy-Based Classification into Hyper Spectral Images for Improved Object Identification

V Singh, R Pawar, P Chaudhary - … International Conference on …, 2024 - ieeexplore.ieee.org
this paper gives a method to integrate entropy-primarily based type, a device mastering
technique, into hyperspectral images for advanced item identity. Entropy-based total …