@InProceedings{AntunesDuar:2012:ChGrUr,
               author = "Antunes, Alzir Felippe and Duarte, A.",
                title = "Characterization of the growth of urban areas by means of 
                         QuickBird images through object-oriented segmentation",
            booktitle = "Proceedings...",
                 year = "2012",
               editor = "Feitosa, Raul Queiroz and Costa, Gilson Alexandre Ostwald Pedro da 
                         and Almeida, Cl{\'a}udia Maria de and Fonseca, Leila Maria Garcia 
                         and Kux, Hermann Johann Heinrich",
                pages = "191--195",
         organization = "International Conference on Geographic Object-Based Image 
                         Analysis, 4. (GEOBIA).",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "object-oriented segmentation, hierarchical classification, Fuzzy 
                         Logic, high resolution images, urban areas mapping.",
             abstract = "The dynamics and complexity of urban growth call for new ways to 
                         guide development in order to guarantee the sustainability of 
                         cities and the quality of life of its inhabitants. Rapid 
                         urbanization and the growth of large urban centres demand new 
                         strategies in urban planning and territorial organisation, 
                         especially at present when unplanned urban growth menaces the 
                         limited natural environment. The purpose of this paper is to 
                         verify the feasibility of high resolution images for recognition 
                         and the classification of features indispensable in urban 
                         planning. It tries to establish a methodology that could guide and 
                         generate thematic as well as analytical maps showing the dynamics 
                         of urban growth using the easiest and most reliable way to obtain 
                         spatial information from the image. The methodology applied is 
                         based on three norms: the organization of knowledge base from the 
                         semantic net; generate objects or features by means of image 
                         segmentation. In order to identify which descriptors could 
                         discriminate better the interest features multivariate statistic 
                         and principal components and discriminant analysis techniques were 
                         used, as a result potential descriptors were selected. Contextual 
                         information is important in creating objects closer to real 
                         features of the terrain and thus optimizing the segmentation 
                         process; in other words a creation of more realistic objects 
                         neither too fragmented nor too generalized. The proposed method 
                         will result in the behavior comprehension of relevant objects by 
                         estimating color, shape and dimensional parameters, which control 
                         the segmentation process. It should improve the vector 
                         representation and consequently the quality of the information 
                         extracted from high-resolution imagery. Box-plot were generated to 
                         evaluate better relationship between classes and object 
                         distribution besides descriptive statistics were also calculated 
                         to provide variables selection. Finally the classification process 
                         was achieved using those previously chosen descriptors to start up 
                         the classification process based on hierarchical classification. 
                         The image used in this study contains a panchromatic band and four 
                         multi spectral bands from the Quickbird sensor. The study is based 
                         on an informal settlement by the name of Guarituba, in the town of 
                         Piraquara, in the State of Paran{\'a}. The area is important as 
                         it is the location of springs which supply water to Curitiba, the 
                         capital of the State of Paran{\'a}, and its Metropolitan areas. 
                         The methodology proposed sounds very promising by means of 
                         Statistic Degree of Discrimination created based on bi-variate 
                         correlation and descriptive statistitics. The graphic Box-plot, 
                         was a useful tool to sort out the functions and parameters 
                         definition to perform the classification at urban environment.",
  conference-location = "Rio de Janeiro",
      conference-year = "May 7-9, 2012",
                 isbn = "978-85-17-00059-1",
             language = "en",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP8W/3BTC27L",
                  url = "http://urlib.net/ibi/8JMKD3MGP8W/3BTC27L",
           targetfile = "056.pdf",
                 type = "Multitemporal Analysis",
        urlaccessdate = "04 jun. 2024"
}