Advanced search
Publication Cover
International Journal of Remote Sensing Volume 38, 2017 - Issue 14
Submit an article Journal homepage
388
Views
25
CrossRef citations to date
0
Altmetric
Articles

A spectral-spatial method based on low-rank and sparse matrix decomposition for hyperspectral anomaly detection

Lili ZhangDepartment of Signal and Information Processing, Harbin Engineering University, College of Information and Communication Engineering, Harbin, China;Department of Electronic Information Engineering, Daqing Normal University, College of Mechanical and Electrical Engineering, Daqing, ChinaView further author information
&
Chunhui ZhaoDepartment of Signal and Information Processing, Harbin Engineering University, College of Information and Communication Engineering, Harbin, ChinaCorrespondence[email protected]
View further author information
Pages 4047-4068 | Received 28 Sep 2016, Accepted 23 Mar 2017, Published online: 09 Apr 2017

Citations (25)

Keep up to date with the latest research on this topic with citation updates for this article.

Subscribe to citation updates

Read on this site (7)

Bangbang Ge, Chunping Hou, Yang Liu, Zhipeng Wang & Ruiheng Wu. (2021) Anomaly detection of power line insulator from aerial imagery with attribute self-supervised learning. International Journal of Remote Sensing 42:23, pages 8819-8839.
Read now
Sukanta Roy, Sumit Pathak & Subbaramajois Narasipur Omkar. (2021) Automated mineralogical anomaly detection using a categorization of optical maturity trend at lunar surface. International Journal of Remote Sensing 42:21, pages 8262-8297.
Read now
Deniz Kumlu & Isin Erer. (2020) Ground penetrating radar clutter removal via randomized low rank and sparse decomposition for missing data case. International Journal of Remote Sensing 41:19, pages 7680-7699.
Read now
Benyamin Hosseiny & Reza Shah-Hosseini. (2020) A hyperspectral anomaly detection framework based on segmentation and convolutional neural network algorithms. International Journal of Remote Sensing 41:18, pages 6946-6975.
Read now
Pei Xiang, Huixin Zhou, Huan Li, Shangzhen Song, Wei Tan, Jiangluqi Song & Lin Gu. (2020) Hyperspectral anomaly detection by local joint subspace process and support vector machine. International Journal of Remote Sensing 41:10, pages 3798-3819.
Read now
Ashkan Taghipour & Hassan Ghassemian. (2019) Hyperspectral anomaly detection using spectral–spatial features based on the human visual system. International Journal of Remote Sensing 40:23, pages 8683-8704.
Read now
Lili Zhang, Baozhi Cheng & Yuwei Deng. (2018) A tensor-based adaptive subspace detector for hyperspectral anomaly detection. International Journal of Remote Sensing 39:8, pages 2366-2382.
Read now

Articles from other publishers (18)

Zhipeng Wang, Dan Ma, Guanghui Yue, Beichen Li, Runmin Cong & Zhiqiang Wu. (2024) Self-Supervised Hyperspectral Anomaly Detection Based on Finite Spatialwise Attention. IEEE Transactions on Geoscience and Remote Sensing 62, pages 1-18.
Crossref
Hao Qin, Qiangqiang Shen, Haijin Zeng, Yongyong Chen & Guangming Lu. (2023) Generalized Nonconvex Low-Rank Tensor Representation for Hyperspectral Anomaly Detection. IEEE Transactions on Geoscience and Remote Sensing 61, pages 1-12.
Crossref
Lili Zhang, Jiachen Ma, Baohong Fu, Fang Lin, Yudan Sun & Fengpin Wang. (2022) Improved Central Attention Network-Based Tensor RX for Hyperspectral Anomaly Detection. Remote Sensing 14:22, pages 5865.
Crossref
Zhiying Xu, Ting Yang & Moslem Lari Najafi. (2022) Method of Cumulative Anomaly Identification for Security Database Based on Discrete Markov chain. Security and Communication Networks 2022, pages 1-10.
Crossref
Pei Xiang, Huan Li, Jiangluqi Song, Dabao Wang, Jiajia Zhang & Huixin Zhou. (2022) Spectral–Spatial Complementary Decision Fusion for Hyperspectral Anomaly Detection. Remote Sensing 14:4, pages 943.
Crossref
Chein-I Chang & Jie Chen. (2021) Orthogonal Subspace Projection Using Data Sphering and Low-Rank and Sparse Matrix Decomposition for Hyperspectral Target Detection. IEEE Transactions on Geoscience and Remote Sensing 59:10, pages 8704-8722.
Crossref
Jiawen Sun. (2021) Time Series Data Mining System Based on Anomaly Detection. Time Series Data Mining System Based on Anomaly Detection.
Chein-I Chang, Hongju Cao, Shuhan Chen, Xiaodi Shang, Chunyan Yu & Meiping Song. (2021) Orthogonal Subspace Projection-Based Go-Decomposition Approach to Finding Low-Rank and Sparsity Matrices for Hyperspectral Anomaly Detection. IEEE Transactions on Geoscience and Remote Sensing 59:3, pages 2403-2429.
Crossref
Kelton A.P. da Costa, João P. Papa, Leandro A. Passos, Danilo Colombo, Javier Del Ser, Khan Muhammad & Victor Hugo C. de Albuquerque. (2020) A critical literature survey and prospects on tampering and anomaly detection in image data. Applied Soft Computing 97, pages 106727.
Crossref
Jie Chen, Hongju Cao, Shuhan Chen & Chein-I Chang. (2020) A Fast Low Rank Approximation and Sparsity Representation Approach to Hyperspectral Anomaly Detection. A Fast Low Rank Approximation and Sparsity Representation Approach to Hyperspectral Anomaly Detection.
Chunhui Zhao, Chuang Li, Xifeng Yao & Wei Li. (2020) Real-time kernel collaborative representation-based anomaly detection for hyperspectral imagery. Infrared Physics & Technology 107, pages 103325.
Crossref
Lili Zhang & Baozhi Cheng. (2020) Sparse representation and modified tensor projection for hyperspectral anomaly detection. Infrared Physics & Technology 106, pages 103256.
Crossref
Jun Ye & Xian Zhang. (2020) Hyperspectral image restoration by subspace representation with low‐rank constraint and spatial‐spectral total variation. IET Image Processing 14:2, pages 220-230.
Crossref
Chunhui Zhao, Chuang Li, Shou Feng, Nan Su & Wei Li. (2020) A Spectral–Spatial Anomaly Target Detection Method Based on Fractional Fourier Transform and Saliency Weighted Collaborative Representation for Hyperspectral Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 13, pages 5982-5997.
Crossref
Guoyun Zhang, Nanying Li, Bing Tu, Zhuolang Liao & Yishu Peng. (2020) Hyperspectral Anomaly Detection Via Dual Collaborative Representation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 13, pages 4881-4894.
Crossref
Lili Zhang & Baozhi Cheng. (2019) A stacked autoencoders-based adaptive subspace model for hyperspectral anomaly detection. Infrared Physics & Technology 96, pages 52-60.
Crossref
Le Sun, Tianming Zhan, Zebin Wu, Liang Xiao & Byeungwoo Jeon. (2018) Hyperspectral Mixed Denoising via Spectral Difference-Induced Total Variation and Low-Rank Approximation. Remote Sensing 10:12, pages 1956.
Crossref
Le Sun, Tianming Zhan, Zebin Wu & Byeungwoo Jeon. (2018) A Novel 3D Anisotropic Total Variation Regularized Low Rank Method for Hyperspectral Image Mixed Denoising. ISPRS International Journal of Geo-Information 7:10, pages 412.
Crossref

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Order Reprints Request Corporate Permissions

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

Request Academic Permissions

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.