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Jian-Long Yu

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Open access 2026

A Self-Supervised Hyperspectral Unmixing Framework Based on Prior Self-Learning and Irrelevant Endmember Degradation

Hyperspectral unmixing is a crucial technique in hyperspectral remote sensing image processing, aiming to separate pure material spectra (endmembers) and their corresponding proportions (abundances) from mixed pixels. Existing nonnegative matrix factorization (NMF) methods suffer from poor interpretability due to the l...

Fang-Zhou Luo, Wei-Fu Ding, Jian-Long Yu · 0 citations
Conference Aug 2026

SRDet: self-regularized object detection framework for UAV perspective

The results validate the effectiveness of the method in addressing the specific challenges of UAV-based object detection, offering a balanced solution for accuracy and efficiency in resource-constrained scenarios.

Chenguang Zhang, Yangming Guo, Jian-Long Yu et al. · 0 citations

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