T-Hy-Demosaicing: Hyperspectral Reconstruction Via Tensor Subspace Representation Under Orthogonal Transformation

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...

Full description

Bibliographic Details
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:	Hyperspectral demosaicing proximal alternating minimization (PAM) tensor subspace representation tran-based tensor singular value decomposition (t-SVD)
Online Access:	https://ieeexplore.ieee.org/document/9420231/

Similar Items

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)

Segmentation Method for Hyperspectral Images using Tensor Decomposition
by: Laura-Bianca BILIUS, et al.
Published: (2020-07-01)

T-SVD-Based Robust Color Image Watermarking
by: Meng Du, et al.
Published: (2019-01-01)

Noise subspaces subtraction in SVD based on the difference of variance values
by: Xiaoming Zhang, et al.
Published: (2016-11-01)

Low-Rank Tensor Completion by Sum of Tensor Nuclear Norm Minimization
by: Yaru Su, et al.
Published: (2019-01-01)

Weighted Low-Rank Tensor Representation for Multi-View Subspace Clustering
by: Shuqin Wang, et al.
Published: (2021-01-01)

Coupled Tensor Decomposition for Hyperspectral Pansharpening
by: Hong Li, et al.
Published: (2018-01-01)

Nonlocal Tensor Sparse Representation and Low-Rank Regularization for Hyperspectral Image Compressive Sensing Reconstruction
by: Jize Xue, et al.
Published: (2019-01-01)

Shape-Adaptive Tensor Factorization Model for Dimensionality Reduction of Hyperspectral Images
by: Zhaohui Xue, et al.
Published: (2019-01-01)

An Out of Memory tSVD for Big-Data Factorization
by: Hector Carrillo-Cabada, et al.
Published: (2020-01-01)

Tensor Completion Based on Triple Tubal Nuclear Norm
by: Dongxu Wei, et al.
Published: (2018-06-01)

Maximum Discriminant Difference Criterion for Dimensionality Reduction of Tensor Data
by: Xinya Peng, et al.
Published: (2020-01-01)

Spatial Low-Rank Tensor Factorization and Unmixing of Hyperspectral Images
by: William Navas-Auger, et al.
Published: (2021-06-01)

Hyperspectral Image Denoising With Group Sparse and Low-Rank Tensor Decomposition
by: Zhihong Huang, et al.
Published: (2018-01-01)

Dimensionality Reduction of Tensors Based on Local Homeomorphism and Global Subspace Projection Distance Minimum
by: Guokai Zhang, et al.
Published: (2020-01-01)

Noisy Low-Tubal-Rank Tensor Completion Through Iterative Singular Tube Thresholding
by: Andong Wang, et al.
Published: (2018-01-01)

Robust Multiview Subspace Clustering of Images via Tighter Rank Approximation
by: Xiaoli Sun, et al.
Published: (2021-01-01)

Hyper-Laplacian Regularized Multi-View Subspace Clustering With a New Weighted Tensor Nuclear Norm
by: Qingjiang Xiao, et al.
Published: (2021-01-01)

A Multidimensional Principal Component Analysis via the C-Product Golub–Kahan–SVD for Classification and Face Recognition †
by: Mustapha Hached, et al.
Published: (2021-05-01)

Sparse Constrained Low Tensor Rank Representation Framework for Hyperspectral Unmixing
by: Le Dong, et al.
Published: (2021-04-01)

Low-Rank Tensor Thresholding Ridge Regression
by: Kailing Guo, et al.
Published: (2019-01-01)

Tensor Robust Principal Component Analysis via Non-Convex Low Rank Approximation
by: Shuting Cai, et al.
Published: (2019-04-01)

The Representation of <i>D</i>-Invariant Polynomial Subspaces Based on Symmetric Cartesian Tensors
by: Xue Jiang, et al.
Published: (2021-08-01)

A GPU Accelerated Tensor Spectral Method for Subspace Clustering
by: Pai, Nithish
Published: (2017)

Urban Traffic Data Imputation With Detrending and Tensor Decomposition
by: Chuanfei Gong, et al.
Published: (2020-01-01)

Three-Order Tucker Decomposition and Reconstruction Detector for Unsupervised Hyperspectral Change Detection
by: Zengfu Hou, et al.
Published: (2021-01-01)

Mixed-Noise Band Selection for Hyperspectral Images
by: Zhen Li, et al.
Published: (2020-01-01)

Hyperspectral Image Denoising Based on Tensor Group Sparse Representation
by: WANG Zhongmei, et al.
Published: (2017-05-01)

Tensor recovery from noisy and multi-level quantized measurements
by: Ren Wang, et al.
Published: (2020-09-01)

A new S-type upper bound for the largest singular value of nonnegative rectangular tensors
by: Jianxing Zhao, et al.
Published: (2017-05-01)

Research on Multichannel Signals Fault Diagnosis for Bearing via Generalized Non-Convex Tensor Robust Principal Component Analysis and Tensor Singular Value Kurtosis
by: Mao Ge, et al.
Published: (2020-01-01)

Image Tampering Localization Using Demosaicing Patterns and Singular Value Based Prediction Residue
by: Cheol Woo Park, et al.
Published: (2021-01-01)

HOSVD-Based Algorithm for Weighted Tensor Completion
by: Zehan Chao, et al.
Published: (2021-07-01)

Spectrally Sparse Tensor Reconstruction in Optical Coherence Tomography Using Nuclear Norm Penalisation
by: Mohamed Ibrahim Assoweh, et al.
Published: (2020-04-01)

An S-type singular value inclusion set for rectangular tensors
by: Caili Sang
Published: (2017-06-01)

Tensor-Based Low-Rank and Sparse Prior Information Constraints for Hyperspectral Image Denoising
by: Guxi Wang, et al.
Published: (2020-01-01)

Hyperspectral Image Super-Resolution Based on Tensor Spatial-Spectral Joint Correlation Regularization
by: Yinghui Xing, et al.
Published: (2020-01-01)

Unsupervised Clustering for Hyperspectral Images
by: Bilius Laura Bianca, et al.
Published: (2020-02-01)

Guaranteed Robust Tensor Completion via ∗<sub><i>L</i></sub>-SVD with Applications to Remote Sensing Data
by: Andong Wang, et al.
Published: (2021-09-01)

Hyperspectral Image Superresolution via Structure-Tensor-Based Image Matting
by: Han Gao, et al.
Published: (2021-01-01)