CEGAT: A CNN and enhanced-GAT based on key sample selection strategy for hyperspectral image classification.

Shi, Cuiping; Wu, Haiyang; Wang, Liguo

Shi, Cuiping; Wu, Haiyang; Wang, Liguo.

Afiliação

Shi C; College of Communication and Electronic Engineering, Qiqihar University, Qiqihar 161000, China. Electronic address: shicuiping@qqhru.edu.cn.
Wu H; College of Communication and Electronic Engineering, Qiqihar University, Qiqihar 161000, China. Electronic address: 2021910323@qqhru.edu.cn.
Wang L; College of Information and Communication Engineering, Dalian Nationalities University, Dalian 116000, China. Electronic address: wangliguo@hrbeu.edu.cn.

Neural Netw ; 168: 105-122, 2023 Nov.

Article em En | MEDLINE | ID: mdl-37748391

Assuntos

Redes Neurais de Computação; Polímeros

Palavras-chave

Convolution neural network; Deep learning; Graph convolution network; Hyperspectral image classification

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Polímeros / Redes Neurais de Computação Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Polímeros / Redes Neurais de Computação Idioma: En Ano de publicação: 2023 Tipo de documento: Article