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
Tensor network (TN) decomposition is a powerful data representation tool widely used in machine learning and computer vision. However, existing TN decomposition methods are limited by fixed topologies, which constrain their representational capacity. To overcome this limitation, we introduce, for the first time, an ene...
Yu-Bang Zheng, Xi-Le Zhao, Heng-Chao Li et al.· IEEE Transactions on Pattern...· 0 citations
Recently, tensor decompositions are prevalent for multi-dimensional image representation, which learn the instance-specific structure of each image from scratch. However, tensor decompositions neglect the common structure across different images, leading to limited semantic modeling capability, high computational cost,...
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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