Hyperspectral image super-resolution addresses the problem of fusing a low-resolution hyperspectral image (LR-HSI) and a high-resolution multispectral image (HR-MSI) to produce a high-resolution hyperspectral image (HR-HSI). Tensor analysis has been proven to be an efficient method for hyperspectral image processing. However, the existing tensor-based methods of hyperspectral image super-resolution like the tensor train and tensor ring decomposition only establish an operation between adjacent two factors and are highly sensitive to the permutation of tensor modes, leading to an inadequate and inflexible representation. In this paper, we propose a novel method for hyperspectral image super-resolution by utilizing the specific properties of high-order tensors in fully-connected tensor network decomposition. The proposed method first tensorizes the target HR-HSI into a high-order tensor that has multiscale spatial structures. Then, a coupled fully-connected tensor network decomposition model is proposed to fuse the corresponding high-order tensors of LR-HSI and HR-MSI. Moreover, a weighted-graph regularization is imposed on the spectral core tensors to preserve spectral information. In the proposed model, the superiorities of the fully-connected tensor network decomposition lie in the outstanding capability for characterizing adequately the intrinsic correlations between any two modes of tensors and the essential invariance for transposition. Experimental results on three data sets show the effectiveness of the proposed approach as compared to other hyperspectral image super-resolution methods.
翻译:超光谱图像超分辨率超分辨率分辨率超分辨率超光谱图像(LR-HSI)和高分辨率多光谱图像(HR-MSI)的引信问题被证明是超光谱图像处理的有效方法。但是,现有的超光谱图像超分辨率超分辨率方法(如高压列车和高压环分解)只能建立相邻两个因素之间的操作,并且对色调模式的变异非常敏感,从而造成不适当和不灵活的代表性。在本文中,我们提出了一个用于高分辨率超光谱图像超分辨率图像的新方法(HR-HSI),以产生高分辨率超光谱超光谱图像图像(HR-HSI)。经测试分析已被证明是超光速高阶高压超光谱图像超分辨率的超分辨率高分辨率超分辨率超高分辨率超光谱图像(HR-HSI)。提议的方法首先将高压超光谱图像超分辨率超分辨率超分辨率超分辨率超分辨率解析方法推向具有多级空间结构的高压超高压超分辨率超分辨率超高分辨率超高分辨率阵列的光分辨率阵列高分辨率阵列。随后,拟议的光分辨率阵列中,将高压阵列的光光光光光谱图像中,将高压的超光学数据压压压解解后将高压压压压压压压压压压压压压压压压压压压压压压压下,将高的超高压压压压压压下,将高压压压压压压压压压压压压压压压压压压压压压压压压压压压压压压压压压压压压压压压压压。