Uncertainty Assessment of Hyperspectral Image Classification: Deep Learning vs. Random Forest.

Shadman Roodposhti, Majid; Aryal, Jagannath; Lucieer, Arko; Bryan, Brett A

Shadman Roodposhti, Majid; Aryal, Jagannath; Lucieer, Arko; Bryan, Brett A.

Afiliação

Shadman Roodposhti M; Discipline of Geography and Spatial Sciences, School of Technology, Environments and Design, University of Tasmania, Hobart 7018, Australia.
Aryal J; Discipline of Geography and Spatial Sciences, School of Technology, Environments and Design, University of Tasmania, Hobart 7018, Australia.
Lucieer A; Discipline of Geography and Spatial Sciences, School of Technology, Environments and Design, University of Tasmania, Hobart 7018, Australia.
Bryan BA; Centre for Integrative Ecology, School of Life and Environmental Sciences, Deakin University, Burwood 3125, Australia.

Entropy (Basel) ; 21(1)2019 Jan 16.

Article em En | MEDLINE | ID: mdl-33266794

Palavras-chave

Shannon entropy; deep neural network; random forest; uncertainty assessment

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials Idioma: En Revista: Entropy (Basel) Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Austrália

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google