@InProceedings{AboudNetaDutrPrad:2009:SeImMu,
               author = "Aboud Neta, Sumaia Resegue and Dutra, Luciano Vieira and Prado, 
                         Bruno Rodrigues do",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Segmenta{\c{c}}{\~a}o de imagens multiespectrais utilizando-se o 
                         atributo matiz",
            booktitle = "Anais...",
                 year = "2009",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "6719--6726",
         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 = "Hue, segmentation, color composit, RGB, remote sensing, matiz, 
                         segmenta{\c{c}}{\~a}o, composi{\c{c}}{\~a}o.",
             abstract = "This paper had as objective, evaluation of segmentation algorithms 
                         and classification of hue images from color composit. The 
                         advantage of working with this representation of color, is the 
                         possibility of separating the intensity of hue and saturation 
                         information. In this context, this article discusses the 
                         segmentation of multispectral images based on hue. It generated a 
                         number of results of the classification of scenes from the 
                         segmentation of the image of hue, based on a synthetic image and a 
                         high resolution image. As high-resolution image was used as an 
                         image IKONOS scene taking the city of Sao Jose dos Campos. Through 
                         the tests performed and the images presented, it was possible to 
                         prove the efficiency of the segment hue. This is evidenced by the 
                         good separability of targets with different conditions of 
                         illumination, as seen in high-resolution image. However, in some 
                         tests done where the light was too low, the value of nuance has 
                         become unstable, receiving values without any meaning. At all 
                         stages of testing, it was found that the average hue of the image 
                         was preserved, ie the segmentation of images filtered and grouped, 
                         their average values of hue were almost equal. Noting thus the 
                         integrity of the method used in the calculation of average value 
                         of hue.",
  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@80/2008/11.16.03.32",
                  url = "http://urlib.net/ibi/dpi.inpe.br/sbsr@80/2008/11.16.03.32",
           targetfile = "6719-6726.pdf",
                 type = "Processamento de Imagens",
        urlaccessdate = "06 maio 2024"
}