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A comparative analysis of ALOS PALSAR L-band and RADARSAT-2 C-band data for land-cover classification in a tropical moist region. Repositório Alice
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 tropical moist region. Transformed divergence was used to identify potential textural images which were calculated with the gray-level co-occurrence matrix method. The standard deviation of selected textural images and correlation coefficients between them were then used to determine the best combination of texture images for land-cover classification. Classification results based on different scenarios with maximum likelihood classifier were compared. Based on the identified best scenarios, different classification algorithms ? maximum likelihood classifier,...
Tipo: Artigo em periódico indexado (ALICE) Palavras-chave: ALOS PALSAR; RADARSAT; Texture; Land-cover classification; Amazon.
Ano: 2012 URL: http://www.alice.cnptia.embrapa.br/handle/doc/924819
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The roles of textural images in improving land-cover classification in the Brazilian Amazon. Repositório Alice
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 poorly understood. This research examines textural images from the Landsat Thematic Mapper (TM), ALOS (Advanced Land Observing Satellite) PALSAR (Phased Array type L-band Synthetic Aperture Radar), the SPOT (Satellite Pour l?Observation de la Terre) high-resolution geometric (HRG) instrument, and the QuickBird satellite, which have pixel sizes of 30, 12.5, 10/5, and 0.6 m, respectively, for land-cover classification in the Brazilian Amazon. GLCM (grey-level co-occurrence matrix)-based texture measures with various sizes of moving windows are used to extract...
Tipo: Artigo em periódico indexado (ALICE) Palavras-chave: Land-cover classification; Landsat Thematic Mapper; Advanced Land Observing Satellite; Phased Array type L-band Synthetic Aperture Radar.
Ano: 2014 URL: http://www.alice.cnptia.embrapa.br/handle/doc/1001846
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