Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/342170
Type: Artigo
Title: Pixelwise remote sensing image classification based on recurrence plot deep features
Author: Dias, Danielle
Dias, Ulisses
Menini, Nathalia
Lamparelli, Rubens
Le Maire, Guerric
Torres, Ricardo
Abstract: Pixelwise remote sensing image classification has benefited from temporal contextual information encoded in time series. In this paper, we investigate the use of data-driven features extracted from time series representations based on recurrence plots, with the goal of improving the effectiveness of classification systems. Performed experiments considered the classification of eucalyptus plantations based on time series profiles. Achieved results demonstrate that the combination of recurrence plot representations with deep-learning features are a promising research venue for addressing pixelwise classification problems
Subject: Classificação de imagem
Country: Estados Unidos
Editor: Institute of Electrical and Electronics Engineers
Rights: Fechado
Identifier DOI: 10.1109/IGARSS.2019.8898128
Address: https://ieeexplore.ieee.org/abstract/document/8898128
Date Issue: 2019
Appears in Collections:IC - Artigos e Outros Documentos
FT - Artigos e Outros Documentos
NIPE - Artigos e Outros Documentos

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