Multishot Compressive Hyperspectral Imaging Based on Tensor Fibered Rank Minimization and Its Primal-Dual Algorithm

Multishot Compressive Hyperspectral Imaging Based on Tensor Fibered Rank Minimization and Its Primal-Dual Algorithm

Coded aperture snapshot spectral imaging (CASSI) compresses tens to hundreds of spectral bands of the hyperspectral image (HSI) to a 2-D compressive measurement. For spatially or spectrally rich scenes, the compressive measurement provided by a single snapshot CASSI may not be sufficient. By taking...

Full description

Bibliographic Details
Main Authors:	Ting Xie, Xudong Kang, Renwei Dian, Tonghan Wang, Licheng Liu
Format:	Article
Language:	English
Published:	IEEE 2024-01-01
Series:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:	Coded aperture snapshot spectral imaging (CASSI) hyperspectral imaging (HSI) primal-dual algorithm (PDA) tensor fibered rank (TFR) minimization
Online Access:	https://ieeexplore.ieee.org/document/10415473/

Similar Items

Hybrid Multi-Dimensional Attention U-Net for Hyperspectral Snapshot Compressive Imaging Reconstruction
by: Siming Zheng, et al.
Published: (2023-04-01)

Design of a Tunable Snapshot Multispectral Imaging System through Ray Tracing Simulation
by: Mengjia Ding, et al.
Published: (2019-01-01)

Coded Aperture Hyperspectral Image Reconstruction
by: Ignacio García-Sánchez, et al.
Published: (2021-09-01)

Graph-Based Logarithmic Low-Rank Tensor Decomposition for the Fusion of Remotely Sensed Images
by: Fei Ma, et al.
Published: (2021-01-01)

Tensor Decomposition-Inspired Convolutional Autoencoders for Hyperspectral Anomaly Detection
by: Bangyong Sun, et al.
Published: (2022-01-01)

Hyperspectral Anomaly Detection Based on Low-Rank Representation With Data-Driven Projection and Dictionary Construction
by: Xiaoxiao Ma, et al.
Published: (2020-01-01)

Tensor Block-Sparsity Based Representation for Spectral-Spatial Hyperspectral Image Classification
by: Zhi He, et al.
Published: (2016-08-01)

Deep Tensor Attention Prior Network for Hyperspectral Image Denoising
by: Weilin Shen, et al.
Published: (2023-01-01)

Line Scan Hyperspectral Imaging Framework for Open Source Low-Cost Platforms
by: Akram Al-Hourani, et al.
Published: (2023-05-01)

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

Tensor Completion via Smooth Rank Function Low-Rank Approximate Regularization
by: Shicheng Yu, et al.
Published: (2023-08-01)

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

Tensor Robust CUR for Compression and Denoising of Hyperspectral Data
by: Mohammad M. Salut, et al.
Published: (2023-01-01)

Hyperspectral Image Denoising via Correntropy-Based Nonconvex Low-Rank Approximation
by: Peizeng Lin, et al.
Published: (2024-01-01)

Hyperspectral Image Denoising via Low-Rank Representation and CNN Denoiser
by: Hezhi Sun, et al.
Published: (2022-01-01)

Hyperspectral Image Super-Resolution via Sparsity Regularization-Based Spatial-Spectral Tensor Subspace Representation
by: Yidong Peng, et al.
Published: (2024-01-01)

Spectral-Spatial Ensemble Low-Rank Domain Adaptation for Hyperspectral Image Classification
by: Xue Zhang, et al.
Published: (2025-01-01)

Hybrid Tensor Networks for Fully Supervised and Semisupervised Hyperspectral Image Classification
by: Yahui Xiu, et al.
Published: (2023-01-01)

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

Hyperspectral denoising based on the principal component low-rank tensor decomposition
by: Wu Hao, et al.
Published: (2022-05-01)

Sparse and Low-Rank Representation With Key Connectivity for Hyperspectral Image Classification
by: Yun Ding, et al.
Published: (2020-01-01)

The Future of Hyperspectral Imaging
by: Stefano Selci
Published: (2019-10-01)

Hyperspectral Three-Dimensional Fluorescence Imaging Using Snapshot Optical Tomography
by: Cory Juntunen, et al.
Published: (2021-05-01)

Double-Factor Tensor Cascaded-Rank Decomposition for Hyperspectral Image Denoising
by: Jie Han, et al.
Published: (2023-12-01)

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

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

Hyperspectral Image Restoration via Spatial-Spectral Residual Total Variation Regularized Low-Rank Tensor Decomposition
by: Xiangyang Kong, et al.
Published: (2022-01-01)

A Novel Tensor-Based Hyperspectral Image Restoration Method With Low-Rank Modeling in Gradient Domains
by: Pengfei Liu, et al.
Published: (2023-01-01)

Tensor Based Multiscale Low Rank Decomposition for Hyperspectral Images Dimensionality Reduction
by: Jinliang An, et al.
Published: (2019-06-01)

Hyperspectral Image Denoising Using Group Low-Rank and Spatial-Spectral Total Variation
by: Taner Ince
Published: (2019-01-01)

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

Hyperspectral Anomaly Detection Based on Regularized Background Abundance Tensor Decomposition
by: Wenting Shang, et al.
Published: (2023-03-01)

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

Low-Rank and Sparse Representation with Adaptive Neighborhood Regularization for Hyperspectral Image Classification
by: Zhaohui XUE,Xiangyu NIE
Published: (2022-03-01)

Editorial for Special Issue “Advances in Hyperspectral Data Exploitation”
by: Chein-I Chang, et al.
Published: (2022-10-01)

Removal of Mixed Noise in Hyperspectral Images Based on Subspace Representation and Nonlocal Low-Rank Tensor Decomposition
by: Chun He, et al.
Published: (2024-01-01)

Set Evincing the Ranks with Respect to an Embedded Variety (Symmetric Tensor Rank and Tensor Rank
by: Edoardo Ballico
Published: (2018-08-01)

Feasibility of a Real-Time Embedded Hyperspectral Compressive Sensing Imaging System
by: Olivier Lim, et al.
Published: (2022-12-01)

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

A Survey on Superpixel Segmentation as a Preprocessing Step in Hyperspectral Image Analysis
by: Subhashree Subudhi, et al.
Published: (2021-01-01)