@InProceedings{PadilhaFerrEspiJúni:2017:MoÁrCu,
               author = "Padilha, Thiago Kerr and Ferreira, Jo{\~a}o Ausgusto De Carvalho 
                         and Espinoza, Jean Marcel de Almeida and J{\'u}nior, Adilson 
                         Jos{\'e} Pereira",
                title = "Monitoramento das {\'a}reas cultivadas de soja e arroz 
                         atrav{\'e}s da classifica{\c{c}}{\~a}o de imagens orbitais",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "7930--7937",
         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 aims at introduce a new cognitive classification method 
                         based on color attributes. Implemented in a supervised manner, the 
                         method assumes the user collect samples from unlimited classes in 
                         a limited space of attributes (only three). Then, the samples 
                         elements are converted to HSV space and plotted in a reduced HSV 
                         colored diagram. The user has also to select polygons on this HSV 
                         space in order to generalize the comprehensive space of each 
                         class. Finally, the image is all converted to HSV space and each 
                         element is considered in order to define if it lies in a region 
                         occupied by one class in the HSV reduced space. The main advantage 
                         of the proposed classification process is the power to emulate the 
                         human knowledge used by photo interpreter during visual 
                         interpretation of remote sensing image targets. Experiments 
                         performed with an image marked by deforestation in Amazon were 
                         conducted by comparing the performance of several classification 
                         approaches. The method proved to be useful in noncomplex problems 
                         when simple approaches tend to show adequate results. Other 
                         advantages of the proposed method is its simplicity and 
                         interactivity, besides it ability to generalize the sampling 
                         process when taking homogeneous samples is a difficult task.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "60133",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSMGLN",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMGLN",
           targetfile = "60133.pdf",
                 type = "Monitoramento e modelagem ambiental",
        urlaccessdate = "27 abr. 2024"
}