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The roles of textural images in improving land-cover classification in the Brazilian Amazon. Autoria: LU, D.; LI, G.; MORAN, E.; DUTRA, L.; BATISTELLA, M. Texture has long been recognized as valuable in improving land-cover classification, but how data from different sensors with varying spatial resolutions affect the selection of textural images is poo... ... Repositório: BDPA Ano de publicação: 2014
A comparative analysis of ALOS PALSAR L-band and RADARSAT-2 C-band data for land-cover classification in a tropical moist region. Autoria: LI, G.; LU, D.; DUTRA, L.; BATISTELLA, M. This paper explores the use of ALOS (Advanced Land Observing Satellite) PALSARL-band (Phased Array type L-band Synthetic Aperture Radar) and RADARSAT-2 C-band data for land-cover classification in a t... ... Repositório: BDPA Ano de publicação: 2012
A comparison of multisensor integration methods for land cover classification in the Brazilian Amazon. Autoria: LU, D.; LI, G.; MORAN, E.; DUTRA, L.; BATISTELLA, M. Many data fusion methods are available, but it is poorly understood which fusion method is suitable for integrating Landsat Thematic Mapper (TM) and radar data for land cover classification. This rese... ... Repositório: BDPA Ano de publicação: 2011

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