@InProceedings{ReveshtyRabe:2012:ZaCi,
               author = "Reveshty, Mohsen Ahadnejad and Rabet, Ali Reza",
                title = "The object-based approach for urban land use classification using 
                         high resolution satellite imagery (A case study: Zanjan city)",
            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 = "678--682",
         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 = "Zanjan, Urban Land use, object-base, Quick-Bird Images.",
             abstract = "Urban land use maps is one of most important data for urban 
                         planner in the planning process that its production by using 
                         traditional methods need to high cost and times. Currently, urban 
                         land-use mapping is still largely based on visual interpretation 
                         using aerial photographs or satellite images, owing to the 
                         complexity of urban patterns and the lack of tools for automatic 
                         solutions. Instead, object-oriented methods can be image 
                         segmentation based on the spectral characteristics, form, texture, 
                         and relationships between phenomena that result in a hierarchy of 
                         classes in the classification of land use; especially urban land 
                         use. In this study segmentation and hierarchical classification 
                         approach based on spatial frequency characteristics applied to 
                         Quick-Bird multispectral satellite data for urban main land use 
                         classification in northern part of Zanjan city. The results shows 
                         that residential, green space, main building such as commercial 
                         and sports area and water body has been classified more than 81% 
                         overall accuracy.",
  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/3BTG8GB",
                  url = "http://urlib.net/ibi/8JMKD3MGP8W/3BTG8GB",
           targetfile = "041.pdf",
                 type = "Urban Applications",
        urlaccessdate = "10 maio 2024"
}