Hyperspectral unmixing (HU) is a fundamental task in the analysis and interpretation of hyperspectral images. A large number of HU methods have been developed rapidly, and several review papers have summarized these developments. More recently, spectral variability (SV) has attracted increasing attention in HU, leading...
Jia-Ning Huang, Hui Li, Jia-Ying Li et al.· IEEE Journal of Selected Top...· 0 citations
Hyperspectral image (HSI) and multispectral image (MSI) fusion is a critical technique for generating imagery with high spatial and spectral resolution. However, developing robust fusion models is fundamentally challenged by the severe scarcity of large-scale, precisely paired HSI-MSI datasets, which are prohibitively...
Yang Xu, Jian Zhu, Dan-Feng Hong et al.· IEEE Transactions on Image P...· 0 citations
Optical remote sensing (RS) spectral images contain rich cross-band response patterns. Recent RS foundation models (RSFMs) improve compatibility with variable-band inputs through unified or channelwise tokenization, but such input-interface compatibility does not ensure generalization to unseen sensors. Moreover, exist...
Xu-Yang Li, Chen-Yu Li, Lei Wang et al.· IEEE Transactions on Geoscie...· 0 citations
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