The assessment of multi-sensor image fusion using wavelet transforms for mapping the Brazilian Savanna

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.creatorAcerbi Júnior, Fausto Weimar-
Autor(es): dc.creatorClevers, Jan G. P. W.-
Autor(es): dc.creatorSchaepman, M. E.-
Data de aceite: dc.date.accessioned2026-02-09T12:09:02Z-
Data de disponibilização: dc.date.available2026-02-09T12:09:02Z-
Data de envio: dc.date.issued2016-11-04-
Data de envio: dc.date.issued2016-11-04-
Data de envio: dc.date.issued2006-12-
Fonte completa do material: dc.identifierhttps://repositorio.ufla.br/handle/1/11968-
Fonte completa do material: dc.identifierhttp://www.sciencedirect.com/science/article/pii/S0303243406000043-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1155410-
Descrição: dc.descriptionMulti-sensor image fusion using the wavelet approach provides a conceptual framework for the improvement of the spatial resolution with minimal distortion of the spectral content of the source image. This paper assesses whether images with a large ratio of spatial resolution can be fused, and evaluates the potential of using such fused images for mapping the Brazilian Savanna. Three types of wavelet transforms were used to perform the fusion between MODIS and Landsat TM images. Five quality measures were defined to assess the quality of the fused images. The results showed that it was possible to perform the fusion of MODIS and TM images and the pyramidal in Fourier space wavelet transform provided the best quality measures for the fused images. Classification results showed that fused images could be used for mapping the Brazilian Savanna with an accuracy level comparable to the Landsat TM image.-
Idioma: dc.languageen-
Idioma: dc.languageen-
Publicador: dc.publisherElsevier-
Publicador: dc.publisherbrasil-
Direitos: dc.rightsrestrictAccess-
???dc.source???: dc.sourceInternational Journal of Applied Earth Observation and Geoinformation-
Palavras-chave: dc.subjectMulti-sensor image fusion-
Palavras-chave: dc.subjectWavelet transform-
Palavras-chave: dc.subjectQuality assessments-
Palavras-chave: dc.subjectBrazilian savanna-
Título: dc.titleThe assessment of multi-sensor image fusion using wavelet transforms for mapping the Brazilian Savanna-
Tipo de arquivo: dc.typeArtigo-
Aparece nas coleções:Repositório Institucional da Universidade Federal de Lavras (RIUFLA)

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