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

Qi Wu; Yanguo Fan; Bowen Fan; Dingfeng Yu

doi:10.3788/LOP202259.1228003

Laser & Optoelectronics Progress, Volume. 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

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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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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Paper Information

Category: Remote Sensing and Sensors

Received: Mar. 25, 2021

Accepted: Jun. 10, 2021

Published Online: Jun. 6, 2022

The Author Email: Wu Qi (wqzwy0825@163.com)

DOI:10.3788/LOP202259.1228003

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology