Dimensionality Reduction Algorithm for Hyperspectral Image Based on Self-Supervised Learning

Zheng Zhou; Yu Yang; Gan Zhang; Libing Xu; Mingqing Wang; Qibing Zhu

doi:10.3788/LOP231646

Laser & Optoelectronics Progress, Volume. 61, Issue 12, 1237001(2024)

Dimensionality Reduction Algorithm for Hyperspectral Image Based on Self-Supervised Learning

Zheng Zhou^1,3, Yu Yang^2、*, Gan Zhang⁴, Libing Xu³, Mingqing Wang^1,3, and Qibing Zhu²

Author Affiliations

¹Wuxi Nine Cosmos Technology Co., Ltd., Wuxi 214072, Jiangsu, China

²Key Laboratory of Advanced Process Control for Light Industry, Ministry of Education, School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, Jiangsu, China

³Department of Earth System Science, Tsinghua University, Beijing 100084, China

⁴School of Electronic and Electrical Engineering, Zhengzhou University of Science and Technology, Zhengzhou 450052, Henan, China

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Zheng Zhou, Yu Yang, Gan Zhang, Libing Xu, Mingqing Wang, Qibing Zhu. Dimensionality Reduction Algorithm for Hyperspectral Image Based on Self-Supervised Learning[J]. Laser & Optoelectronics Progress, 2024, 61(12): 1237001

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Paper Information

Category: Digital Image Processing

Received: Jul. 3, 2023

Accepted: Aug. 22, 2023

Published Online: Jun. 5, 2024

The Author Email: Yu Yang (yangxiangyu1168@163.com)

DOI:10.3788/LOP231646

CSTR:32186.14.LOP231646

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology