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...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Guangxin Liu, Liguo Wang, Danfeng Liu
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2022-08-01
coleção:	Remote Sensing
Assuntos:	hyperspectral remote sensing image supervised classification least square support vector machine nonparallel support vector machine
Acesso em linha:	https://www.mdpi.com/2072-4292/14/17/4263
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!