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Sponsored AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI

Author

Zi-Yuan Yang

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Open access Sep 2026

Discrepancy-Conditioned Residual Feature Refinement for Multi-Source Hyperspectral Classification

Multi-source cross-domain hyperspectral image (HSI) classification is challenged by heterogeneous sensor configurations, scene-dependent distribution shifts, and limited labeled target data, which hinder effective knowledge transfer across multiple scenes. Motivated by progressive feature correction, we propose a three...

Wen-Xiang Zhu, Jing-Yi Xu, Yong-Xu Liu et al. · 0 citations
2026

Diffusion-Inspired Multisource Meta-Learning for Cross-Domain HSI Classification

Cross-domain hyperspectral image (HSI) classification remains challenging in realistic deployments, where distribution shifts caused by sensor characteristics, acquisition conditions, and scene variability often coincide with scarce target-domain annotations. While domain adaptation (DA) and few-shot learning have achi...

Wen-Xiang Zhu, Jing-Yi Xu, De-Ping Chen et al. · 0 citations
Open access 2026

Beyond Linear Convolutional Representations: Manifold-Aware Neighborhood Feature Learning for PolSAR Ship Detection

Classical polarimetric synthetic aperture radar (PolSAR) ship detectors can be unified into a quadratic form of polarimetric scattering vectors, offering clear physical interpretability. To further exploit spatial information, the neighborhood polarimetric covariance matrix (NPCM) was introduced to characterize inter-p...

Zi-Yuan Yang, Peng Zhang, Yao Yao et al. · 0 citations

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