@InProceedings{NarvaesSant:2007:UtSeIm,
               author = "Narvaes, Igor da Silva and Santos, Jo{\~a}o Roberto dos",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "A utiliza{\c{c}}{\~a}o da segmenta{\c{c}}{\~a}o de 
                         imagens-fra{\c{c}}{\~a}o como t{\'e}cnica de 
                         classifica{\c{c}}{\~a}o da cobertura vegetal na regi{\~a}o 
                         central e entorno da FLONA do Tapaj{\'o}s, utilizando imagem 
                         CCD/CBERS-2",
            booktitle = "Anais...",
                 year = "2007",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares and Fonseca, Leila Maria Garcia",
                pages = "993--1000",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 13. (SBSR).",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "linear spectral mixture model, classification, vegetation, Amazon 
                         forest, modelo linear de mistura espectral, 
                         classifica{\c{c}}{\~a}o, vegeta{\c{c}}{\~a}o, Floresta 
                         Amaz{\^o}nica.",
             abstract = "This work has as main objective the mapping of the vegetable 
                         covering in the central area and around 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 2005 
                         image of sensor CCD/CBERS-2 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 
                         2 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, secondary forest 
                         deforested areas and areas wich suffered forest exploration. As 
                         end result we present a map of the types of vegetable covering of 
                         the studied area.",
  conference-location = "Florian{\'o}polis",
      conference-year = "21-26 abr. 2007",
           copyholder = "SID/SCD",
                 isbn = "978-85-17-00031-7",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "dpi.inpe.br/sbsr@80/2006/11.15.19.39.54",
                  url = "http://urlib.net/ibi/dpi.inpe.br/sbsr@80/2006/11.15.19.39.54",
           targetfile = "993-1000.pdf",
                 type = "CBERS: Avalia{\c{c}}{\~a}o e Aplica{\c{c}}{\~o}es",
        urlaccessdate = "18 jun. 2024"
}