A Constrained Sparse-Representation-Based Spatio-Temporal Anomaly Detector for Moving Targets in Hyperspectral Imagery Sequences

At present, small dim moving target detection in hyperspectral imagery sequences is mainly based on anomaly detection (AD). However, most conventional detection algorithms only utilize the spatial spectral information and rarely employ the temporal spectral information. Besides, multiple targets in...

Full description

Bibliographic Details
Published in:	Remote Sensing
Main Authors:	Zhaoxu Li, Qiang Ling, Jing Wu, Zhengyan Wang, Zaiping Lin
Format:	Article
Language:	English
Published:	MDPI AG 2020-08-01
Subjects:	anomaly detection constrained sparse representation hyperspectral imagery moving target detection spatio-temporal processing
Online Access:	https://www.mdpi.com/2072-4292/12/17/2783

Similar Items

An Improved Low Rank and Sparse Matrix Decomposition-Based Anomaly Target Detection Algorithm for Hyperspectral Imagery
by: Yan Zhang, et al.
Published: (2020-01-01)

Least Angle Regression-Based Constrained Sparse Unmixing of Hyperspectral Remote Sensing Imagery
by: Ruyi Feng, et al.
Published: (2018-09-01)

Hyperspectral anomaly detection via low-rank and sparse decomposition with cluster subspace accumulation
by: Baozhi Cheng, et al.
Published: (2024-11-01)

Anomaly Detection from Hyperspectral Remote Sensing Imagery
by: Qiandong Guo, et al.
Published: (2016-12-01)

A Symmetric Sparse Representation Based Band Selection Method for Hyperspectral Imagery Classification
by: Weiwei Sun, et al.
Published: (2016-03-01)

Weighted Sparseness-Based Anomaly Detection for Hyperspectral Imagery
by: Xing Lian, et al.
Published: (2023-02-01)

Hyperspectral target detection based on transform domain adaptive constrained energy minimization
by: Xiaobin Zhao, et al.
Published: (2021-12-01)

Sparse Feature Learning of Hyperspectral Imagery via Multiobjective-Based Extreme Learning Machine
by: Xiaoping Fang, et al.
Published: (2020-02-01)

Group Sparse Representation Based on Nonlocal Spatial and Local Spectral Similarity for Hyperspectral Imagery Classification
by: Haoyang Yu, et al.
Published: (2018-05-01)

HUTDNet: A joint unmixing and target detection network for underwater hyperspectral imagery
by: Qi Li, et al.
Published: (2025-02-01)

Sparse Unmixing for Hyperspectral Imagery via Comprehensive-Learning-Based Particle Swarm Optimization
by: Yapeng Miao, et al.
Published: (2021-01-01)

Hyperspectral Anomaly Detection via Sparse Representation and Collaborative Representation
by: Sheng Lin, et al.
Published: (2023-01-01)

Detection and Classification of Moving Vehicle From Video Using Multiple Spatio-Temporal Features
by: Yu Wang, et al.
Published: (2019-01-01)

High-resolution Sparse Representation and Its Applications in Radar Moving Target Detection
by: Chen Xiaolong, et al.
Published: (2017-06-01)

A Moving Target Detection Model Inspired by Spatio-Temporal Information Accumulation of Avian Tectal Neurons
by: Shuman Huang, et al.
Published: (2023-02-01)

Sparse and Low-Rank Constrained Tensor Factorization for Hyperspectral Image Unmixing
by: Pan Zheng, et al.
Published: (2021-01-01)

Joint Sparse and Low-Rank Multi-Task Learning with Extended Multi-Attribute Profile for Hyperspectral Target Detection
by: Xing Wu, et al.
Published: (2019-01-01)

Spectra-Based Selective Searching for Hyperspectral Anomaly Detection
by: Chensong Yin, et al.
Published: (2020-12-01)

Normalizing Flow-Based Probability Distribution Representation Detector for Hyperspectral Anomaly Detection
by: Xiaorun Li, et al.
Published: (2022-01-01)

A Fast Hyperspectral Anomaly Detection Algorithm Based on Greedy Bilateral Smoothing and Extended Multi-Attribute Profile
by: Senhao Liu, et al.
Published: (2021-10-01)

HTD-Net: A Deep Convolutional Neural Network for Target Detection in Hyperspectral Imagery
by: Gaigai Zhang, et al.
Published: (2020-05-01)

Reweighted Nuclear Norm and Total Variation Regularization With Sparse Dictionary Construction for Hyperspectral Anomaly Detection
by: Xiaoyi Wang, et al.
Published: (2022-01-01)

Superpixel-Based Weighted Sparse Regression and Spectral Similarity Constrained for Hyperspectral Unmixing
by: Yao Liang, 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 Anomaly Detection Based on Machine Learning: An Overview
by: Yichu Xu, et al.
Published: (2022-01-01)

Adaptive Iterated Shrinkage Thresholding-Based <i>L<sub>p</sub></i>-Norm Sparse Representation for Hyperspectral Imagery Target Detection
by: Xiaobin Zhao, et al.
Published: (2020-12-01)

Constrained-Target Band Selection With Subspace Partition for Hyperspectral Target Detection
by: Xudong Sun, et al.
Published: (2021-01-01)

Mapping Peatlands Combing Deep Learning With Sparse Spectral Unmixing Based on Zhuhai-1 Hyperspectral Images
by: Yulin Xu, et al.
Published: (2025-01-01)

Hyperspectral Target Detection via Adaptive Joint Sparse Representation and Multi-Task Learning with Locality Information
by: Yuxiang Zhang, et al.
Published: (2017-05-01)

Robust Dual Spatial Weighted Sparse Unmixing for Remotely Sensed Hyperspectral Imagery
by: Chengzhi Deng, et al.
Published: (2023-08-01)

Hyperspectral Target Detection Based on Macro–Micro Spectrum Contrastive Learning
by: Jiacheng Tian, et al.
Published: (2025-01-01)

Deep Constrained Energy Minimization for Hyperspectral Target Detection
by: Xiaoli Yang, et al.
Published: (2022-01-01)

Exploring the Intrinsic Probability Distribution for Hyperspectral Anomaly Detection
by: Shaoqi Yu, et al.
Published: (2022-01-01)

Hyperspectral Feature Extraction Using Sparse and Smooth Low-Rank Analysis
by: Behnood Rasti, et al.
Published: (2019-01-01)

Tongue Tumor Detection in Medical Hyperspectral Images
by: Zhi Liu, et al.
Published: (2011-12-01)

Hyperspectral Sparse Unmixing With Spectral-Spatial Low-Rank Constraint
by: Fan Li, et al.
Published: (2021-01-01)

SCSU–GDO: Superpixel Collaborative Sparse Unmixing with Graph Differential Operator for Hyperspectral Imagery
by: Kaijun Yang, et al.
Published: (2025-09-01)

Decomposition Model With Background Dictionary Learning for Hyperspectral Target Detection
by: Tongkai Cheng, et al.
Published: (2021-01-01)

Wetland Mapping Using HJ-1A/B Hyperspectral Images and an Adaptive Sparse Constrained Least Squares Linear Spectral Mixture Model
by: Xiaodong Na, et al.
Published: (2021-02-01)

Advanced TSGL-EEGNet for Motor Imagery EEG-Based Brain-Computer Interfaces
by: Xin Deng, et al.
Published: (2021-01-01)