Learning Tensor Low-Rank Representation for Hyperspectral Anomaly Detection

Tensor Low-Rank Constraint and $l_0$ Total Variation for Hyperspectral Image Mixed Noise Removal

(2021) Minghua Wang et al.   IEEE Journal of Selected Topics in Signal Processing

Interpretable Hyperspectral Artificial Intelligence: When nonconvex modeling meets hyperspectral remote sensing

(2021) Danfeng Hong et al.   IEEE Geoscience and Remote Sensing Magazine

Hyperspectral Anomaly Detection via Deep Plug-and-Play Denoising CNN Regularization

(2021) Xiyou Fu et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

SpectralFormer: Rethinking Hyperspectral Image Classification With Transformers

(2021) Danfeng Hong et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Hyperspectral Anomaly Detection via Locally Enhanced Low-Rank Prior

(2020) Shaoyu Wang et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Hyperspectral Image Mixed Noise Removal Based on Multidirectional Low-Rank Modeling and Spatial–Spectral Total Variation

(2020) Minghua Wang et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

More Diverse Means Better: Multimodal Deep Learning Meets Remote-Sensing Imagery Classification

(2020) Danfeng Hong et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Graph Convolutional Networks for Hyperspectral Image Classification

(2020) Danfeng Hong et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Low-Rank and Sparse Decomposition With Mixture of Gaussian for Hyperspectral Anomaly Detection

(2020) Lu Li et al.   IEEE Transactions on Cybernetics

ORSIm Detector: A Novel Object Detection Framework in Optical Remote Sensing Imagery Using Spatial-Frequency Channel Features

(2019) Xin Wu et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Anomaly Detection in Hyperspectral Imagery Based on Low-Rank Representation Incorporating a Spatial Constraint

(2019) Kun Tan et al.   Remote Sensing

Learning a Low Tensor-Train Rank Representation for Hyperspectral Image Super-Resolution

(2019) Renwei Dian et al.   IEEE Transactions on Neural Networks and Learning Systems

Graph and Total Variation Regularized Low-Rank Representation for Hyperspectral Anomaly Detection

(2019) Tongkai Cheng et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

A sparse tensor-based classification method of hyperspectral image

(2019) Fengshuang Liu et al.   SIGNAL PROCESSING

A Low-Rank and Sparse Matrix Decomposition- Based Dictionary Reconstruction and Anomaly Extraction Framework for Hyperspectral Anomaly Detection

(2019) Yichu Xu et al.   IEEE Geoscience and Remote Sensing Letters

Hyperspectral Image Restoration Using Weighted Group Sparsity-Regularized Low-Rank Tensor Decomposition

(2019) Yong Chen et al.   IEEE Transactions on Cybernetics

Hyperspectral Anomaly Detection via Tensor- Based Endmember Extraction and Low-Rank Decomposition

(2019) Shangzhen Song et al.   IEEE Geoscience and Remote Sensing Letters

Tensor Low-Rank Representation for Data Recovery and Clustering

(2019) Pan Zhou et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Joint Reconstruction and Anomaly Detection From Compressive Hyperspectral Images Using Mahalanobis Distance-Regularized Tensor RPCA

(2018) Yang Xu et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

FFDNet: Toward a Fast and Flexible Solution for CNN-Based Image Denoising

(2018) Kai Zhang et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

A Preprocessing Method for Hyperspectral Target Detection Based on Tensor Principal Component Analysis

(2018) Zehao Chen et al.   Remote Sensing

An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing

(2018) Danfeng Hong et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Modified Kernel RX Algorithm Based on Background Purification and Inverse-of-Matrix-Free Calculation

(2017) Chunhui Zhao et al.   IEEE Geoscience and Remote Sensing Letters

A Low-Rank and Sparse Matrix Decomposition-Based Mahalanobis Distance Method for Hyperspectral Anomaly Detection

(2016) Yuxiang Zhang et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

A Novel Cluster Kernel RX Algorithm for Anomaly and Change Detection Using Hyperspectral Images

(2016) Jin Zhou et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

A Tensor Decomposition-Based Anomaly Detection Algorithm for Hyperspectral Image

(2016) Xing Zhang et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Anomaly Detection in Hyperspectral Images Based on Low-Rank and Sparse Representation

(2016) Yang Xu et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Weighted Nuclear Norm Minimization and Its Applications to Low Level Vision

(2016) Shuhang Gu et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Principal component analysis: a review and recent developments

(2016) Ian T. Jolliffe et al.   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

Convergence Analysis of Alternating Direction Method of Multipliers for a Family of Nonconvex Problems

(2016) Mingyi Hong et al.   SIAM JOURNAL ON OPTIMIZATION

Hyperspectral Anomaly Detection Based on Low-Rank Representation and Learned Dictionary

(2016) Yubin Niu et al.   Remote Sensing

Hyperspectral Image Classification Based on Three-Dimensional Scattering Wavelet Transform

(2015) Yuan Yan Tang et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Global Convergence of Splitting Methods for Nonconvex Composite Optimization

(2015) Guoyin Li et al.   SIAM JOURNAL ON OPTIMIZATION

Weighted-RXD and Linear Filter-Based RXD: Improving Background Statistics Estimation for Anomaly Detection in Hyperspectral Imagery

(2014) Qiandong Guo et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

The direct extension of ADMM for multi-block convex minimization problems is not necessarily convergent

(2014) Caihua Chen et al.   MATHEMATICAL PROGRAMMING

Analysis and Optimizations of Global and Local Versions of the RX Algorithm for Anomaly Detection in Hyperspectral Data

(2013) J. M. Molero et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Third-Order Tensors as Operators on Matrices: A Theoretical and Computational Framework with Applications in Imaging

(2013) Misha E. Kilmer et al.   SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS

Hyperspectral Remote Sensing Data Analysis and Future Challenges

(2013) Jose M. Bioucas-Dias et al.   IEEE Geoscience and Remote Sensing Magazine

Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches

(2012) José M. Bioucas-Dias et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Anomaly Detection in Hyperspectral Images Based on an Adaptive Support Vector Method

(2011) Safa Khazai et al.   IEEE Geoscience and Remote Sensing Letters

Robust principal component analysis?

(2011) Emmanuel J. Candès et al.   JOURNAL OF THE ACM

Factorization strategies for third-order tensors

(2010) Misha E. Kilmer et al.   LINEAR ALGEBRA AND ITS APPLICATIONS

Improved estimation of local background covariance matrix for anomaly detection in hyperspectral images

(2010) Stefania Matteoli   OPTICAL ENGINEERING

A Locally Adaptable Iterative RX Detector

(2010) Yuri P. Taitano et al.   EURASIP Journal on Advances in Signal Processing

Receiver Operating Characteristic Curve Confidence Intervals and Regions

(2008) J. Kerekes   IEEE Geoscience and Remote Sensing Letters