Semi-Supervised Hyperspectral Anomaly Detection Based on Spatial-Spectral Background Reconstruction

Luyao Li; Zhongwei Li; Leiquan Wang; Juan Li; Shunxiao Shi

doi:10.3788/LOP222705

Laser & Optoelectronics Progress, Volume. 60, Issue 20, 2028001(2023)

Semi-Supervised Hyperspectral Anomaly Detection Based on Spatial-Spectral Background Reconstruction

Luyao Li¹, Zhongwei Li^1、*, Leiquan Wang², Juan Li², and Shunxiao Shi²

Author Affiliations

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

²College of Computer Science and Technology, China University of Petroleum, Qingdao 266580, Shandong , China

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Luyao Li, Zhongwei Li, Leiquan Wang, Juan Li, Shunxiao Shi. Semi-Supervised Hyperspectral Anomaly Detection Based on Spatial-Spectral Background Reconstruction[J]. Laser & Optoelectronics Progress, 2023, 60(20): 2028001

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Paper Information

Category: Remote Sensing and Sensors

Received: Oct. 8, 2022

Accepted: Nov. 29, 2022

Published Online: Oct. 13, 2023

The Author Email: Zhongwei Li (li.zhongwei@vip.163.com)

DOI:10.3788/LOP222705

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology