@InProceedings{SilvaFonsValeShim:2009:IdPrDe,
               author = "Silva, Fabr{\'{\i}}cio Brito and Fonseca, Leila Maria Garcia and 
                         Valeriano, Dalton de Morisson and Shimabukuro, Yosio Edemir",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais} and {Instituto 
                         Nacional de Pesquisas Espaciais} and {Instituto Nacional de 
                         Pesquisas Espaciais} and {Instituto Nacional de Pesquisas 
                         Espaciais}",
                title = "Identifica{\c{c}}{\~a}o de processos de desmatamento seletivo na 
                         regi{\~a}o amaz{\^o}nica utilizando dados orbitais e 
                         t{\'e}cnicas de processamento digital de imagens",
            booktitle = "Anais...",
                 year = "2009",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "3043--3049",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 14. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "Forest degradation, Amazonian Forest, Geotecnologies.",
             abstract = "The selective logging has been affecting extensive areas in the 
                         Amazonian and the assessment of this activity for satellite images 
                         it is difficulty to recognize due to partial reduction of the 
                         forest covering in the process of selective extraction of the 
                         trees. The objective of this work was to evaluate the application 
                         of the techniques of digital processing of images in the 
                         identification of processes of selective logging in the Amazonian 
                         area. They were applied techniques of Linear Spectral Mixture 
                         Models (LSMM), Principal Component Analysis (PCA), HIS 
                         Transformation and Reason of Bands. On the image P2 (ACP), H (IHS) 
                         and Soil Fraction was applied a dilation filter and evaluated 
                         different interactions.The best interaction was interpreted 
                         visually and compared with another specialist's interpretation on 
                         the same image without the processing tested in this work. The 
                         image originating from image ACP provided the most appropriate 
                         contrast even after the application of the dilation filter 
                         maintaining dark the forest areas evidencing the patios or truck 
                         loading of logging. Low correlation was verified among the visual 
                         classification accomplished in the image P2 (ACP) and the 
                         classification accomplished by other specialist, however, when 
                         compared the values of the classified area the proximity of the 
                         values was observed, with a difference of approximately 12%. The 
                         band P2 resulting from ACP, submitted the a dilation filter with 5 
                         interactions was the most appropriate image for the identification 
                         of the relative pattern to the selective deforestation.",
  conference-location = "Natal",
      conference-year = "25-30 abr. 2009",
                 isbn = "978-85-17-00044-7",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "dpi.inpe.br/sbsr@80/2008/11.17.19.19.59",
                  url = "http://urlib.net/ibi/dpi.inpe.br/sbsr@80/2008/11.17.19.19.59",
           targetfile = "3043-3049.pdf",
                 type = "Floresta e Vegeta{\c{c}}{\~a}o",
        urlaccessdate = "16 jun. 2024"
}