@InProceedings{BoulomytisAlve:2011:ClImTM,
               author = "Boulomytis, Vassiliki Terezinha Galv{\~a}o and Alves, 
                         Cl{\'a}udia Durand",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais - INPE} and {Instituto 
                         Nacional de Pesquisas Espaciais - INPE}",
                title = "Classifica{\c{c}}{\~a}o de imagens TM5-Landsat com an{\'a}lise 
                         orientada a objeto para a verifica{\c{c}}{\~a}o da expans{\~a}o 
                         urbana de Bueno Brand{\~a}o, MG",
            booktitle = "Anais...",
                 year = "2011",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "1036--1042",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 15. (SBSR).",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "Medium spatial resolution images, detection of urban areas, 
                         object-based approach, imagens de m{\'e}dia resolu{\c{c}}{\~a}o 
                         espacial, detec{\c{c}}{\~a}o de {\'a}reas urbanas, abordagem 
                         orientada a objeto.",
             abstract = "In this study orbital remote sensing data were processed in a GIS 
                         for the verification of urban expansion between 2000 and 2007 in 
                         the county of Bueno Brand{\~a}o, state of Minas Gerais. The 
                         reason for choosing this period was that in the last decade, there 
                         was a growth of rural evasion in the city, due to the available 
                         governmental habitation programs. Although there was a significant 
                         and visible expansion, there was no available data of the current 
                         area covering the urban settlements. The classification of 
                         TM5-Landsat images was done by the use of an object-based 
                         approach, applied in the the Definiens 7 software. Spectral, 
                         relational and textural attributes were used for the definition of 
                         classes, including the Normalized Difference Vegetation Index 
                         (NDVI), which allows the separability of the vegetation class, and 
                         also, the textural homogeneity, which was used through specific 
                         fuzzy functions for the urban and bare soil classes, making it 
                         possible to reduce the confusion in the process of classifying 
                         medium spatial resolution images. The data integration was done by 
                         the use of SPRING software, version 5.1.5.The validation of the 
                         urban area classifications was done by the use of Kappa 
                         statistics, obtaining the indexes of 0.72 and 0.86 for the 2000 
                         and 2007 maps. The methodology approach of this study was able to 
                         show the relevance in using this kind of classification technique 
                         as it may be systematized with low cost in short-time periods, 
                         providing good quality results, in order to guide the necessary 
                         procedures toward urban planning.",
  conference-location = "Curitiba",
      conference-year = "30 abr. - 5 maio 2011",
                 isbn = "{978-85-17-00056-0 (Internet)} and {978-85-17-00057-7 (DVD)}",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "3ERPFQRTRW/3A2PMR2",
                  url = "http://urlib.net/ibi/3ERPFQRTRW/3A2PMR2",
           targetfile = "p0586.pdf",
                 type = "An{\'a}lise Urbana",
        urlaccessdate = "25 abr. 2024"
}