Publicação: LAND-USE CLASSIFICATION USING FINITE ELEMENT MACHINES
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Ieee
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Trabalho apresentado em evento
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Acesso aberto
Resumo
Satellite images have been used in a number of applications, both in the academy and in the industry. One critical purpose concerns the land-use classification, which aims at automatically identifying different land-use applications, which range from economy and environmental monitoring to resources planning. In this paper, we introduce a new machine learning technique called Finite Element Machines (FEMa) in the context of land-use classification using satellite images. We show that FEMa can obtain results that are comparable to some state-of-the-art techniques in the literature.
Descrição
Palavras-chave
Land-use classification, Finite Element Machines, Remote Sensing
Idioma
Inglês
Como citar
Igarss 2018 - 2018 Ieee International Geoscience And Remote Sensing Symposium. New York: Ieee, p. 7316-7319, 2018.
