@InProceedings{SantosPinh:2017:AnImAl,
               author = "Santos, Bruno Dias dos and Pinho, Carolina Moutinho Duque de",
                title = "An{\'a}lise de imagens de alta resolu{\c{c}}{\~a}o espacial 
                         baseada em objetos para classifica{\c{c}}{\~a}o de assentamentos 
                         prec{\'a}rios",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "6226--6232",
         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 = "This work is dedicated to performing an interpretation of high 
                         spatial resolution images to identify communities in danger of 
                         evictions and is part of the research project entitled 
                         Observat{\'o}rio de Remo{\c{c}}{\~o}es. The study area is 
                         located in S{\~a}o Bernardo do Campo - SP and presents a 
                         significant and very diverse number of precarious settlements in 
                         relation to the rest of the municipality. We chose to work with 
                         the category of precarious settlements because they represent well 
                         the characteristics that translate the socio-environmental 
                         vulnerability of areas normally impacted by evictions. An 
                         interpretation key based on the elements of images was developed 
                         by color, context, texture, shape and size. The interpretation 
                         keys that were obtained in this work characterize the precarious 
                         settlements of S{\~a}o Bernardo do Campo in an authentic and safe 
                         way and we expected that they facilitate the process of 
                         classification of images via GEOBIA.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59283",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSMCGH",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMCGH",
           targetfile = "59283.pdf",
                 type = "Urbaniza{\c{c}}{\~a}o",
        urlaccessdate = "27 abr. 2024"
}