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vol.27 suppl.1Aplicação de dados multisensor (SAR e ETM+) no reconhecimento de padrões de uso e ocupação do solo em costas tropicais: Costa Amazônica, Amapá, BrasilMapeamento de ambientes costeiros tropicais (Golfão Maranhense, Brasil) utilizando imagens de sensores remotos orbitais índice de autoresíndice de materiabúsqueda de artículos
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Revista Brasileira de Geofísica

versión impresa ISSN 0102-261X

Resumen

GONCALVES, Fabrício Dias; SOUZA FILHO, Pedro Walfir Martins e; PARADELLA, Waldir Renato  y  MIRANDA, Fernando Pellon de. Fusão de dados multisensor para a identificação e o mapeamento de ambientes flúvio-estuarinos da Amazônia. Rev. Bras. Geof. [online]. 2009, vol.27, suppl.1, pp. 57-67. ISSN 0102-261X.  http://dx.doi.org/10.1590/S0102-261X2009000500005.

Multisensor data fusion has been widely used in response to complementary nature of many data sets. This paper compares the results of four different data fusion methods used to merge Landsat-7 ETM+ and RADARSAT-1 Wide 1 data. The comparison was based on spectral characteristics of images using statistical and visual analyses of generated products. Four methods were used in the Landsat-7 ETM+ and RADARSAT-1 W1 data fusion: i) The best three bands combination(Landsat-7) based OIF (Optimum Index Factor) selection were merged with RADARSAT-1 data; ii) Decorrelation stretch was applied in the three bands (Landsat-7) selected by OIF and merged with RADARSAT-1 image; iii) PCA (Principal Component Analysis) to six reflective ETM+ bands (1, 2, 3, 4, 5 and 7) and posterior fusion of the three first Principal Components (PC1, PC2, PC3) with SAR; iv) A new approach SPC-SAR (Selective Principal Component - Synthetic Aperture Radar). The SPC-SAR product presented the best performance in the identification of coastal features and allowed the most effective enhancement of the different environments.

Palabras llave : multisensor remote sensing; image fusion; Amazon Coastal Zone.

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