Hyperspectral Imagery Classification Based on Multiscale Superpixel-Level Constraint Representation

Sparse representation (SR)-based models have been widely applied for hyperspectral image classification. In our previously established constraint representation (CR) model, we exploited the underlying significance of the sparse coefficient and proposed the participation degree (PD) to represent the...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Haoyang Yu, Xiao Zhang, Meiping Song, Jiaochan Hu, Qiandong Guo, Lianru Gao
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2020-10-01
coleção:	Remote Sensing
Assuntos:	hyperspectral remote sensing image classification constraint representation superpixel segmentation multiscale decision fusion
Acesso em linha:	https://www.mdpi.com/2072-4292/12/20/3342
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!