Hyperspectral Image Classification Combining Superpixel Principal Component Analysis Dimensionality Reduction with Extended Random Walk Probability Optimization

Dejia Hu; Yuan Huang; Bin Yang; Xinguang He

doi:10.3788/LOP220621

Laser & Optoelectronics Progress, Volume. 60, Issue 12, 1210005(2023)

Hyperspectral Image Classification Combining Superpixel Principal Component Analysis Dimensionality Reduction with Extended Random Walk Probability Optimization

Dejia Hu^1,2, Yuan Huang^1,2, Bin Yang^1,2、*, and Xinguang He^1,2

Author Affiliations

¹College of Geographic Sciences, Hunan Normal University, Changsha 410081, Hunan, China

²Hunan Key Laboratory of Geospatial Big Data Mining and Application, Changsha 410081, Hunan, China

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Dejia Hu, Yuan Huang, Bin Yang, Xinguang He. Hyperspectral Image Classification Combining Superpixel Principal Component Analysis Dimensionality Reduction with Extended Random Walk Probability Optimization[J]. Laser & Optoelectronics Progress, 2023, 60(12): 1210005

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Paper Information

Category: Image Processing

Received: Jan. 25, 2022

Accepted: Jun. 14, 2022

Published Online: Jun. 5, 2023

The Author Email: Bin Yang (yangbin@hunnu.edu.cn)

DOI:10.3788/LOP220621

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology