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

Journals >Laser & Optoelectronics Progress >Volume 60 >Issue 12 >Page 1210005 > Article

Laser & Optoelectronics Progress
Vol. 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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DOI: 10.3788/LOP220621 Cite this Article Set citation alerts

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 Copy Citation Text

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