Semantic change detection (SCD) aims to determine whether land-cover categories change and how they evolve across multitemporal remote sensing images. Despite recent advances, existing methods still face some challenges. First, the encoders of visual foundation models produce overly smoothed representations, weakening...
Yun-Cheng Li, Heng-Chao Li, Wen-Shuai Hu et al.· IEEE Transactions on Geoscie...· 0 citations
Deep unfolding networks (DUNs) offer an iterative paradigm that unrolls optimization procedures into a cascaded network structure for hyperspectral image (HSI) denoising. However, existing DUNs for HSI denoising suffer from two notable limitations: 1) the ill-posed inverse problem of handling severely degraded observat...
Zhen-Zhou Wei, Yu-Bang Zheng, Heng-Chao Li 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
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