**Toward SuperȬResolution Image Construction Based on Joint Tensor Decomposition**

**Xiaoxu Ren 1, Liangfu Lu 2,\* and Jocelyn Chanussot <sup>3</sup>**


This paper proposed an image-fusion method based on joint-tensor decomposition (JTF), which is more effective and applicable when degenerate operators are unknown or tough to gauge. Specifically, the proposed JTF method considers a super-resolution image (SRI) as a three-dimensional tensor and redefines a fusion problem as the joint estimation of the coupling factor matrix, which can also be expressed as a joint-tensor decomposition problem for the hyperspectral image tensor, multispectral image tensor, and noise regularization term. The JTF algorithm was then utilized to fuse HSI and MSI so as to explore the problem of SRI reconstruction. The experimental results showed the superior performance of the proposed method in comparison with the current popular schemes.

remotesensingȬ13Ȭ01260
