Related references
Note: Only part of the references are listed.Collaborative representation with background purification and saliency weight for hyperspectral anomaly detection
Zengfu Hou et al.
SCIENCE CHINA-INFORMATION SCIENCES (2022)
Artificial Neural Networks in the domain of reservoir characterization: A review from shallow to deep models
Pallabi Saikia et al.
COMPUTERS & GEOSCIENCES (2020)
A partial convolution-based deep-learning network for seismic data regularization
Shulin Pan et al.
COMPUTERS & GEOSCIENCES (2020)
A Spectral-Spatial Anomaly Target Detection Method Based on Fractional Fourier Transform and Saliency Weighted Collaborative Representation for Hyperspectral Images
Chunhui Zhao et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2020)
Anomaly Detection for Hyperspectral Imagery Based on the Regularized Subspace Method and Collaborative Representation
Kun Tan et al.
REMOTE SENSING (2019)
Anomaly Detection in Hyperspectral Imagery Based on Low-Rank Representation Incorporating a Spatial Constraint
Kun Tan et al.
REMOTE SENSING (2019)
Spectral-Spatial Feature Extraction for Hyperspectral Anomaly Detection
Jie Lei et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2019)
Hyperspectral Anomaly Detection by Fractional Fourier Entropy
Ran Tao et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2019)
MugNet: Deep learning for hyperspectral image classification using limited samples
Bin Pan et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2018)
A tensor-based adaptive subspace detector for hyperspectral anomaly detection
Lili Zhang et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2018)
Transferred Deep Learning for Anomaly Detection in Hyperspectral Imagery
Wei Li et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2017)
R-VCANet: A New Deep-Learning-Based Hyperspectral Image Classification Method
Bin Pan et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2017)
Active Deep Learning for Classification of Hyperspectral Images
Peng Liu et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2017)
Hyperspectral Anomaly Detection With Attribute and Edge-Preserving Filters
Xudong Kang et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2017)
PCA-Based Edge-Preserving Features for Hyperspectral Image Classification
Xudong Kang et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2017)
Hyperspectral Anomaly Detection via a Sparsity Score Estimation Framework
Rui Zhao et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2017)
Hyperspectral Image Classification Using Deep Pixel-Pair Features
Wei Li et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2017)
Learning to Diversify Deep Belief Networks for Hyperspectral Image Classification
Ping Zhong et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2017)
Projection pursuit and PCA associated with near and middle infrared hyperspectral images to investigate forensic cases of fraudulent documents
Jose Francielson Queiroz Pereira et al.
MICROCHEMICAL JOURNAL (2017)
Tensor Decomposition and PCA Jointed Algorithm for Hyperspectral Image Denoising
Shushu Meng et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2016)
Spectral-Spatial Classification of Hyperspectral Image Based on Deep Auto-Encoder
Xiaorui Ma et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2016)
A Low-Rank and Sparse Matrix Decomposition-Based Mahalanobis Distance Method for Hyperspectral Anomaly Detection
Yuxiang Zhang et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2016)
A Tensor Decomposition-Based Anomaly Detection Algorithm for Hyperspectral Image
Xing Zhang et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2016)
Sparsity divergence index based on locally linear embedding for hyperspectral anomaly detection
Lili Zhang et al.
JOURNAL OF APPLIED REMOTE SENSING (2016)
A spectral-spatial based local summation anomaly detection method for hyperspectral images
Bo Du et al.
SIGNAL PROCESSING (2016)
Deep Learning for Remote Sensing Data A technical tutorial on the state of the art
Liangpei Zhang et al.
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE (2016)
Hyperspectral Anomaly Detection by the Use of Background Joint Sparse Representation
Jiayi Li et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2015)
Spectral-Spatial Classification of Hyperspectral Data Based on Deep Belief Network
Yushi Chen et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2015)
Collaborative Representation for Hyperspectral Anomaly Detection
Wei Li et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2015)
A PCA-based hyperspectral approach to detect infections by mycophilic fungi on dried porcini mushrooms (boletus edulis and allied species)
Lucia Bagnasco et al.
TALANTA (2015)
Local Sparsity Divergence for Hyperspectral Anomaly Detection
Zongze Yuan et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2014)
A Robust Nonlinear Hyperspectral Anomaly Detection Approach
Rui Zhao et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2014)
Weighted-RXD and Linear Filter-Based RXD: Improving Background Statistics Estimation for Anomaly Detection in Hyperspectral Imagery
Qiandong Guo et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2014)
Deep Learning-Based Classification of Hyperspectral Data
Yushi Chen et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2014)
A High-Order Statistical Tensor Based Algorithm for Anomaly Detection in Hyperspectral Imagery
Xiurui Geng et al.
SCIENTIFIC REPORTS (2014)
Feature Mining for Hyperspectral Image Classification
Xiuping Jia et al.
PROCEEDINGS OF THE IEEE (2013)
Comparative evaluation of hyperspectral anomaly detectors in different types of background
Dirk Borghys et al.
ALGORITHMS AND TECHNOLOGIES FOR MULTISPECTRAL, HYPERSPECTRAL, AND ULTRASPECTRAL IMAGERY XVIII (2012)
A Tutorial Overview of Anomaly Detection in Hyperspectral Images
Stefania Matteoli et al.
IEEE AEROSPACE AND ELECTRONIC SYSTEMS MAGAZINE (2010)
Recent advances in techniques for hyperspectral image processing
Antonio Plaza et al.
REMOTE SENSING OF ENVIRONMENT (2009)
Robust uncertainty principles:: Exact signal reconstruction from highly incomplete frequency information
EJ Candès et al.
IEEE TRANSACTIONS ON INFORMATION THEORY (2006)
Kernel-based methods for hyperspectral image classification
G Camps-Valls et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2005)
Kernel RX-algorithm: A nonlinear anomaly detector for hyperspectral imagery
H Kwon et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2005)
Share Paper
