@InProceedings{VeronaShim:2005:ClCoVe,
               author = "Verona, Jane Delane and Shimabukuro, Yosio Edemir",
          affiliation = "{ABE - Associa{\c{c}}{\~a}o Brasileira de Ec{\'o}logos} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Classifica{\c{c}}{\~a}o da cobertura vegetal da regi{\~a}o 
                         norte da FLONA do Tapaj{\'o}s utilizando a 
                         segmenta{\c{c}}{\~a}o de imagens-fra{\c{c}}{\~a}o",
            booktitle = "Anais...",
                 year = "2005",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Fonseca, Leila Maria 
                         Garcia",
                pages = "1685--1690",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 12. (SBSR)",
            publisher = "INPE",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "modelo linear de mistura espectral, classifica{\c{c}}{\~a}o, 
                         vegeta{\c{c}}{\~a}o, floresta Amaz{\^o}nica, linear spectral 
                         mixture model, classification, vegetation, Amazon forest.",
             abstract = "This work has as main objective the mapping of the vegetable 
                         covering in the northern area of the Tapaj{\'o}s National Forest, 
                         located to the south of the city of Santar{\'e}mPar{\'a}, 
                         Brazil. For this purpose, over the 1999 image of sensor 
                         TM-Landsat-5 the following digital processings were accomplished: 
                         a linear spectral mixture model; segmentation and classification. 
                         The application of the linear mixture model implemented in the 
                         Georreferenced Information Processing System (SPRING/INPE), made 
                         possible the transformation of bands 3, 4 and 5 in image-fractions 
                         shade, soil and vegetation. On the shade image-fraction the 
                         segmentation technique was applied by growth of areas and later 
                         the Isoseg classifier was used to classify the segmented image. 
                         The methodology employed showed useful in the distinction among 
                         the areas of primary forest, deforested areas and areas in process 
                         of secondary regeneration. As end result we present a map of the 
                         types of vegetable covering of the studied area.",
  conference-location = "Goi{\^a}nia",
      conference-year = "16-21 abr. 2005",
                 isbn = "85-17-00018-8",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais",
                  ibi = "ltid.inpe.br/sbsr/2004/11.11.13.52",
                  url = "http://urlib.net/ibi/ltid.inpe.br/sbsr/2004/11.11.13.52",
           targetfile = "1685.pdf",
                 type = "Floresta",
        urlaccessdate = "18 jun. 2024"
}