Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/87901
Type: Artigo
Title: Toward satellite-based land cover classification through optimum-path forest
Title Alternative: 
Author: Pisani, Rodrigo José
Nakamura, Rodrigo Yuji Mizobe
Riedel, Paulina Setti
Zimback, Célia Regina Lopes
Falcão, Alexandre Xavier
Papa, João Paulo
Abstract: Land cover classification has been paramount in the last years. Since the amount of information acquired by satellite on-board imaging systems has increased, there is a need for automatic tools that can tackle such problem. Despite the fact that one can find several works in the literature, we propose a novel methodology for land cover classification by means of the optimum-path forest (OPF) framework, which has never been applied to this context up to date. Experiments were conducted in supervised and unsupervised situations against some state-of-the-art pattern recognition techniques, such as support vector machines, Bayesian classifier, k-means, and mean shift. We had shown that supervised OPF can outperform such approaches, being much faster than all. In regard to clustering techniques, all classifiers have achieved similar results. © 1980-2012 IEEE.
Land cover classification has been paramount in the last years. Since the amount of information acquired by satellite on-board imaging systems has increased, there is a need for automatic tools that can tackle such problem. Despite the fact that one can f
Subject: Reconhecimento de padrões
Floresta de caminhos ótimos
Sensoriamento remoto
Imagens de sensoriamento remoto
Country: Estados Unidos
Editor: Institute of Electrical and Electronics Engineers
Citation: Ieee Transactions On Geoscience And Remote Sensing. Institute Of Electrical And Electronics Engineers Inc., v. 52, n. 10, p. 6075 - 6085, 2014.
Rights: fechado
Fechado
Identifier DOI: 10.1109/TGRS.2013.2294762
Address: https://ieeexplore.ieee.org/document/6719506
Date Issue: 2014
Appears in Collections:IC - Artigos e Outros Documentos

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