Cover Image

Hyperspectral Anomaly Detection Fused Unified Nonconvex Tensor Ring Factors Regularization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Qin, Wenjin, Wang, Hailin, Shu, Hao, Zhang, Feng, Wang, Jianjun, Cao, Xiangyong, Zhao, Xi-Le, Vivone, Gemine
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Compact Multi-level-prior Tensor Representation for Hyperspectral Image Super-resolution
by: Wang, Yinjian, et al.
Published: (2025)

Accelerating Large-Scale Regularized High-Order Tensor Recovery
by: Qin, Wenjin, et al.
Published: (2025)

SoDa2: Single-Stage Open-Set Domain Adaptation via Decoupled Alignment for Cross-Scene Hyperspectral Image Classification
by: Liu, Yiwen, et al.
Published: (2026)

Zero-Shot Hyperspectral Pansharpening Using Hysteresis-Based Tuning for Spectral Quality Control
by: Guarino, Giuseppe, et al.
Published: (2025)

Multi-Dimensional Visual Data Recovery: Scale-Aware Tensor Modeling and Accelerated Randomized Computation
by: Qin, Wenjin, et al.
Published: (2026)

Hyperspectral Pansharpening: Critical Review, Tools and Future Perspectives
by: Ciotola, Matteo, et al.
Published: (2024)

SeaMo: A Season-Aware Multimodal Foundation Model for Remote Sensing
by: Li, Xuyang, et al.
Published: (2024)

ATFusion: An Alternate Cross-Attention Transformer Network for Infrared and Visible Image Fusion
by: Yan, Han, et al.
Published: (2024)

Robust Principal Component Completion
by: Wang, Yinjian, et al.
Published: (2026)

A Comprehensive Survey for Hyperspectral Image Classification: The Evolution from Conventional to Transformers and Mamba Models
by: Ahmad, Muhammad, et al.
Published: (2024)

Fast Model-guided Instance-wise Adaptation Framework for Real-world Pansharpening with Fidelity Constraints
by: Yang, Zhiqi, et al.
Published: (2026)

Guaranteed Nonconvex Factorization Approach for Tensor Train Recovery
by: Qin, Zhen, et al.
Published: (2024)

Guaranteed Multidimensional Time Series Prediction via Deterministic Tensor Completion Theory
by: Shu, Hao, et al.
Published: (2025)

Low-rankness and Smoothness Meet Subspace: A Unified Tensor Regularization for Hyperspectral Image Super-resolution
by: Zhang, Jun, et al.
Published: (2025)

Low-Rank Tensor Learning by Generalized Nonconvex Regularization
by: Xia, Sijia, et al.
Published: (2024)

HIDFlowNet: A Flow-Based Deep Network for Hyperspectral Image Denoising
by: Wang, Qizhou, et al.
Published: (2023)

A Unified Algorithm for Nonconvex Decentralized Nonlinear Optimization
by: Wu, Hao, et al.
Published: (2025)

Spectral-Spatial Extraction through Layered Tensor Decomposition for Hyperspectral Anomaly Detection
by: Yu, Quan, et al.
Published: (2025)

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation
by: Pang, Li, et al.
Published: (2026)

Utilizing the Score of Data Distribution for Hyperspectral Anomaly Detection
by: Sheng, Jiahui, et al.
Published: (2026)

Pan-denoising: Guided Hyperspectral Image Denoising via Weighted Represent Coefficient Total Variation
by: Xu, Shuang, et al.
Published: (2024)

Towards Unified AI Models for MU-MIMO Communications: A Tensor Equivariance Framework
by: Wang, Yafei, et al.
Published: (2024)

Beyond Reconstruction: Reconstruction-to-Vector Diffusion for Hyperspectral Anomaly Detection
by: Xiang, Jijun, et al.
Published: (2026)

HSIGene: A Foundation Model For Hyperspectral Image Generation
by: Pang, Li, et al.
Published: (2024)

HIR-Diff: Unsupervised Hyperspectral Image Restoration Via Improved Diffusion Models
by: Pang, Li, et al.
Published: (2024)

Decompose to Understand, Fuse to Detect: Frequency-Decoupled Anomaly Detection for Encrypted Network Traffic
by: Lian, Xinglin, et al.
Published: (2026)

Wasserstein Nonnegative Tensor Factorization with Manifold Regularization
by: Wang, Jianyu, et al.
Published: (2024)

One-Step Detection Paradigm for Hyperspectral Anomaly Detection via Spectral Deviation Relationship Learning
by: Li, Jingtao, et al.
Published: (2023)

Low-Tubal-Rank Tensor Recovery via Factorized Gradient Descent
by: Liu, Zhiyu, et al.
Published: (2024)

Anisotropic Tensor Deconvolution of Hyperspectral Images
by: Wang, Xinjue, et al.
Published: (2026)

SPECIAL: Zero-shot Hyperspectral Image Classification With CLIP
by: Pang, Li, et al.
Published: (2025)

Hyperspectral Anomaly Detection with Self-Supervised Anomaly Prior
by: Liu, Yidan, et al.
Published: (2024)

Scalable Bayesian Tensor Ring Factorization for Multiway Data Analysis
by: Tao, Zerui, et al.
Published: (2024)

Hipandas: Hyperspectral Image Joint Denoising and Super-Resolution by Image Fusion with the Panchromatic Image
by: Xu, Shuang, et al.
Published: (2024)

Robust Tensor Regression with Nonconvexity: Algorithmic and Statistical Theory
by: Song, Zihao, et al.
Published: (2026)

Teacher Encoder-Student Decoder Denoising Guided Segmentation Network for Anomaly Detection
by: Song, Shixuan, et al.
Published: (2025)

CL-BioGAN: Biologically-Inspired Cross-Domain Continual Learning for Hyperspectral Anomaly Detection
by: Wang, Jianing, et al.
Published: (2025)

A Unified Regularization Approach to High-Dimensional Generalized Tensor Bandits
by: Li, Jiannan, et al.
Published: (2025)

Adaptive Regularized Low-Rank Tensor Decomposition for Hyperspectral Image Denoising and Destriping
by: Li, Dongyi, et al.
Published: (2024)

DTR: A Unified Deep Tensor Representation Framework for Multimedia Data Recovery
by: Zhou, Ting-Wei, et al.
Published: (2024)