Graph Regularized Low-Rank and Collaborative Representation for Hyperspectral Anomaly Detection

Qi Wu; Yanguo Fan; Bowen Fan; Dingfeng Yu

doi:10.3788/LOP202259.1228003

Journals >Laser & Optoelectronics Progress >Volume 59 >Issue 12 >Page 1228003 > Article

Laser & Optoelectronics Progress
Vol. 59, Issue 12, 1228003 (2022)

Graph Regularized Low-Rank and Collaborative Representation for Hyperspectral Anomaly Detection

Qi Wu^1、*, Yanguo Fan¹, Bowen Fan², and Dingfeng Yu³

Author Affiliations

¹College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao 266580, Shandong , China

²College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin 150001, Heilongjiang , China

³Institute of Oceanographic Instrumentation, Qilu University of Technology (Shandong Academy of Sciences), Qingdao 266061, Shandong , China

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DOI: 10.3788/LOP202259.1228003 Cite this Article Set citation alerts

Qi Wu, Yanguo Fan, Bowen Fan, Dingfeng Yu. Graph Regularized Low-Rank and Collaborative Representation for Hyperspectral Anomaly Detection[J]. Laser & Optoelectronics Progress, 2022, 59(12): 1228003 Copy Citation Text

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References

[2] Wang Y L, Wang L, Yu C Y et al. Constrained-target band selection for multiple-target detection[J]. IEEE Transactions on Geoscience and Remote Sensing, 57, 6079-6103(2019).

Qi Wu, Yanguo Fan, Bowen Fan, Dingfeng Yu. Graph Regularized Low-Rank and Collaborative Representation for Hyperspectral Anomaly Detection[J]. Laser & Optoelectronics Progress, 2022, 59(12): 1228003

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