Related references
Note: Only part of the references are listed.Fixed pattern noise reduction for infrared images based on cascade residual attention CNN
Juntao Guan et al.
NEUROCOMPUTING (2020)
Graph and Total Variation Regularized Low-Rank Representation for Hyperspectral Anomaly Detection
Tongkai Cheng et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2020)
Hyperspectral anomaly detection by local joint subspace process and support vector machine
Pei Xiang et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2020)
Improving Hyperspectral Anomaly Detection With a Simple Weighting Strategy
Lingxiao Zhu et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2019)
Infrared and visible image perceptive fusion through multi-level Gaussian curvature filtering image decomposition
Wei Tan et al.
APPLIED OPTICS (2019)
A Constrained Sparse Representation Model for Hyperspectral Anomaly Detection
Qiang Ling et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2019)
Hyperspectral anomaly detection using spectral-spatial features based on the human visual system
Ashkan Taghipour et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2019)
Structure Tensor and Guided Filtering-Based Algorithm for Hyperspectral Anomaly Detection
Weiying Xie et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2019)
Similarity Constrained Convex Nonnegative Matrix Factorization for Hyperspectral Anomaly Detection
Wuxia Zhang et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2019)
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)
Hyperspectral Anomaly Detection by Fractional Fourier Entropy
Ran Tao et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2019)
HYPERSPECTRAL ANOMALY DETECTION BASED ON LOW RANK AND SPARSE TENSOR DECOMPOSITION
Fuhe Qin et al.
2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019) (2019)
Multi-Scale Visual Attention Deep Convolutional Neural Network for Multi-Focus Image Fusion
Rui Lai et al.
IEEE ACCESS (2019)
A Fast and Adaptive Method for Determining K1, K2, and K3 in the Tensor Decomposition-Based Anomaly Detection Algorithm
Xing Zhang et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2018)
Saliency-Based Endmember Detection for Hyperspectral Imagery
Xinyu Wang et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2018)
Optimal Clustering Framework for Hyperspectral Band Selection
Qi Wang et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2018)
A Posteriori Hyperspectral Anomaly Detection for Unlabeled Classification
Yulei Wang et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2018)
Hyperspectral anomaly detection based on the bilateral filter
Xifeng Yao et al.
INFRARED PHYSICS & TECHNOLOGY (2018)
Robust Subspace Segmentation by Self-Representation Constrained Low-Rank Representation
Lai Wei et al.
NEURAL PROCESSING LETTERS (2018)
Total Variation Regularization Term-Based Low-Rank and Sparse Matrix Representation Model for Infrared Moving Target Tracking
Minjie Wan et al.
REMOTE SENSING (2018)
Hyperspectral Anomaly Detection Using Combined Similarity Criteria
Maryam Vafadar et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2018)
Hyperspectral Anomaly Detection With Attribute and Edge-Preserving Filters
Xudong Kang et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2017)
Curvature Filters Efficiently Reduce Certain Variational Energies
Yuanhao Gong et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2017)
Supervised Band Selection Using Local Spatial Information for Hyperspectral Image
Xianghai Cao et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2016)
A Tensor Decomposition-Based Anomaly Detection Algorithm for Hyperspectral Image
Xing Zhang et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2016)
Anomaly Detection in Hyperspectral Images Based on Low-Rank and Sparse Representation
Yang Xu et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2016)
Hyperspectral Anomaly Detection by Graph Pixel Selection
Yuan Yuan et al.
IEEE TRANSACTIONS ON CYBERNETICS (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)
Fast Hyperspectral Anomaly Detection via High-Order 2-D Crossing Filter
Yuan Yuan et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2015)
A Sparse Representation-Based Binary Hypothesis Model for Target Detection in Hyperspectral Images
Yuxiang Zhang et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2015)
A Locally Adaptive Background Density Estimator: An Evolution for RX-Based Anomaly Detectors
Stefania Matteoli et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2014)
Low-rank and sparse matrix decomposition-based anomaly detection for hyperspectral imagery
Weiwei Sun et al.
JOURNAL OF APPLIED REMOTE SENSING (2014)
Sparse Representation for Target Detection in Hyperspectral Imagery
Yi Chen et al.
IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING (2011)
Robust Principal Component Analysis?
Emmanuel J. Candes et al.
JOURNAL OF THE ACM (2011)
A cluster-based approach for detecting man-made objects and changes in imagery
MJ Carlotto
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2005)
Dimensionality reduction of hyperspectral data using discrete wavelet transform feature extraction
LM Bruce et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2002)
Computational modelling of visual attention
L Itti et al.
NATURE REVIEWS NEUROSCIENCE (2001)