Graph-Based Tensor Bayesian Multispectral Image Fusion With Nonconvex Tensor Rank Minimization Model

• Published in: IEEE transactions on instrumentation and measurement Vol. 74; pp. 1 - 13
• Main Authors: Liu, Pengfei, Zheng, Zhizhong, Zheng, Shangdong, Xiao, Liang
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.01.2025; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Bayes methods; Bayesian analysis; Bayesian inference; Computer vision; Correlation; Data models; graph regularization prior; graph representation; Graph representations; Graphical representations; Image fusion; Image resolution; Minimization; Modulation; multispectral (MS) image fusion; nonconvex tensor low-rank prior; Optimization; Regularization; Remote sensing; Solid modeling; Sparse matrices; Spatial resolution; Statistical inference; tensor representation; Tensors

Multispectral (MS) image fusion refers to the fusion of the low-resolution MS (LRMS) image and the corresponding panchromatic (Pan) image of the same earth scenes, which aims to produce the high-resolution MS (HRMS) image and has been an important and popular research subject in remote sensing. Spec...