T-Hy-Demosaicing: Hyperspectral Reconstruction Via Tensor Subspace Representation Under Orthogonal Transformation
This article aims to solve the problem of the hyperspectral imagery (HSI) demosaicing under a novel subsampling hyperspectral sensing strategy. The existing method utilizes the periodic structure of subsampling to estimate a fixed subspace in matrix form from the measurement result, which reduces th...
Main Authors: | Shan-Shan Xu, Ting-Zhu Huang, Jie Lin, Yong Chen |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2021-01-01
|
Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9420231/ |
Similar Items
-
Online Tensor Robust Principal Component Analysis
by: Mohammad M. Salut, et al.
Published: (2022-01-01) -
Thumbnail Tensor—A Method for Multidimensional Data Streams Clustering with an Efficient Tensor Subspace Model in the Scale-Space
by: Bogusław Cyganek
Published: (2019-09-01) -
Enhanced Multi-View Subspace Clustering via Twist Tensor Nuclear Norm and Constraint Propagation
by: Wei Yan, et al.
Published: (2023-01-01) -
Restricted Singular Value Decomposition for a Tensor Triplet under T-Product and Its Applications
by: Chong-Quan Zhang, et al.
Published: (2024-03-01) -
A Hybrid Norm for Guaranteed Tensor Recovery
by: Yihao Luo, et al.
Published: (2022-07-01)