@InProceedings{PereiraMourCent:2017:EsIdÁr,
               author = "Pereira, Gabriel Henrique de Almeida and Moura, Pierre and 
                         Centeno, Jorge Antonio Silva",
                title = "Estimativa para identifica{\c{c}}{\~a}o de {\'a}reas de pasto 
                         na Amaz{\^o}nia brasileira utilizando processamento de imagens de 
                         radar",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "2676--2683",
         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 objective of this work is to show an automated method for 
                         determination of deforested areas based on images of Synthetic 
                         Aperture Radar (SAR) airborne, being used in subproject Land 
                         Cartography. This project aims to generate cartographic products 
                         of the area of almost 1.8 million square kilometers called empty 
                         cartographic area from the Legal Amazon region. This project is 
                         also known as Radiography of the Amazon. Due to the large volume 
                         of data generated, a methodology for automatic identification of 
                         deforested areas is critical to the use of these inputs. Image 
                         Processing tools can contribute to the automatic extraction of 
                         information from SAR images, optimizing processing large amounts 
                         of data. The steps to the methodology for identifying areas of 
                         pasture in the Brazilian Amazon are by using low-pass filters, 
                         calculation of variance values of the digital values of pixels in 
                         the image and mathematical morphology. At the end, it is possible 
                         to verify that this methodology can identify deforested areas 
                         intended for farming, since these regions can be characterized by 
                         low values of the variance from the pixels values that represent 
                         it.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "60016",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSLR3Q",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLR3Q",
           targetfile = "60016.pdf",
                 type = "Degrada{\c{c}}{\~a}o de florestas",
        urlaccessdate = "27 abr. 2024"
}