The availability of multitemporal remote sensing images (MTRSIs) provides new opportunities for thick cloud removal. An MTRSI acquired from a sensor such as Sentinel-2, Landsat-8, or MODIS usually consists of spectral bands with different spatial resolutions. However, existing methods are mainly designed for single-res...
Wen-Jie Zheng, Xi-Le Zhao, Yu-Bang Zheng et al.· IEEE Transactions on Geoscie...· 0 citations
This work proposes a novel structure-revealing TN paradigm, termed SVD-inspired TN decomposition (SVDinsTN), which enables the formulation of an energy function that simultaneously considers representation error and TN structure complexity, facilitating the joint optimization of data representation and the identificati...
Yu-Bang Zheng, Xi-Le Zhao, Heng-Chao Li et al.· IEEE Transactions on Pattern...· 0 citations
The first pre-trained low-rank tensor decomposition (PLTD) framework is suggested, which organically integrates the pre-trained large vision model into the classical tensor decomposition framework and achieves an unprecedented balance among higher recovery fidelity, fewer learnable parameters, and smaller carbon footpr...
Bingfei Fu, Zhi-Long Han, Ting-Zhu Huang et al.· 0 citations
Recently, tensor-based physics-informed neural networks (T-PINNs) have received increasing attention. However, existing T-PINNs still face a fundamental challenge: they mainly rely on pre-specified low-rank tensor decompositions with manually tuned ranks, which limits their ability to capture the underlying structures...
Ruoyang Su, Xi-Le Zhao, Kun Li et al.· 0 citations
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