@InProceedings{SantosSouzGlerVell:2017:TaJaCa,
               author = "Santos, Jo{\~a}o Fl{\'a}vio Costa dos and Souza, Guilherme 
                         Silverio Aquino de and Gleriani, Jos{\'e} Marinaldo and Velloso, 
                         Sidney Geraldo Silveira",
                title = "Classifica{\c{c}}{\~a}o textural multisensores: tamanho da 
                         janela, caracter{\'{\i}}stica dos alvos e bandas espectrais",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "5103--5110",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "The Earth surface contains information that may differ according 
                         to the data taken by the sensor. With the increase the number of 
                         spatial sensors it is possible to analyze, in a period smaller 
                         than 16 days, the same terrestrial surface in different 
                         resolutions. Semivariograms curves were generated for a scene with 
                         predominance of cerrado, eucalyptus and grass with data 
                         OLI/Landsat-8 30m, MUX/CBERS4 20m, PAN-MS/CBERS4 10m and RapidEye 
                         5m. It was also generated the descriptors of texture Entropia, 
                         Angular Second Moment and Contrast in windows 5x5 and 15x15 which 
                         were used in a classification pixel by pixel. It was observed that 
                         for land cover - cerrado - there was no stabilization of the 
                         semivariogram, probably due to the many typologies found in the 
                         scene (campo cerrado until cerrad{\~a}o). For the red band (R) 
                         there is stabilization of the histogram, which does not always 
                         occur with the near infrared band (NIR), probably due to the 
                         saturation of the NIR signal with values of Leaf Area Index (LAI) 
                         higher than found in R channels. Stabilization of the histogram 
                         occurs with windows inversely proportional to the resolution, 
                         showing that the better the spatial resolution the greater the 
                         variance and a larger window is needed to describe it. The windows 
                         size was not conclusive and the use of red channels should be used 
                         in preference NIR channels or NDVI.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59994",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSM4A3",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSM4A3",
           targetfile = "59994.pdf",
                 type = "CBERS",
        urlaccessdate = "27 abr. 2024"
}