Hyperspectral Image Classification Based on a Least Square Bias Constraint Additional Empirical Risk Minimization Nonparallel Support Vector Machine

Hyperspectral Image Classification Based on a Least Square Bias Constraint Additional Empirical Risk Minimization Nonparallel Support Vector Machine

Hyperspectral image classification technology is important for the application of hyperspectral technology. Support vector machines (SVMs) work well in supervised classifications of hyperspectral images; however, they still have some shortcomings, and their use of a parallel decision plane makes it...

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Bibliographic Details
Main Authors: Guangxin Liu, Liguo Wang, Danfeng Liu
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Remote Sensing
Subjects:
hyperspectral remote sensing image
supervised classification
least square support vector machine
nonparallel support vector machine
Online Access:https://www.mdpi.com/2072-4292/14/17/4263

Internet

https://www.mdpi.com/2072-4292/14/17/4263

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