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- W4308497365 abstract "Multitemporal hyperspectral image (HSI) change detection (CD) is a prevalent topic in remote sensing image processing. HSI CD usually consists of change feature extraction and classification. Although the high dimensionality of HSIs provides rich spectral information, HSIs are prone to spectral-spatial variability that degrades change detection accuracy. Recently, tensor decomposition has been successfully applied to CD. However, there is still room for improvement. We propose a tensor ring-based CD model with alternative change masks (TRACM-CD) for multitemporal HSIs. TRACM-CD extracts temporal change features using TR decomposition applied to different temporal change vectors. The alternative change masks constrain the temporal change representation and guarantee the temporal symmetry for change features to facilitate recognition of background and changes. Experimental results on four real-world multitemporal HSI datasets confirm the effectiveness and superiority of TR-based CD. The proposed model outperforms its tensor counterparts and classic approaches for multitemporal HSIs." @default.
- W4308497365 created "2022-11-12" @default.
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- W4308497365 date "2022-12-01" @default.
- W4308497365 modified "2023-10-18" @default.
- W4308497365 title "Tensor ring with alternative change mask for multitemporal hyperspectral image change detection" @default.
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- W4308497365 doi "https://doi.org/10.1016/j.patrec.2022.10.023" @default.
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