@InProceedings{MarangozAlki:2012:DeUrFe,
               author = "Marangoz, Aycan Murat and Alkis, Z{\"u}beyde",
                title = "Detection of urban features and map updating from satellite images 
                         using object-based image classification methods and integration to 
                         GIS",
            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 = "315--320",
         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 = "High Resolution Satellite Images, Image Contents, eCognition, 
                         Segmentation, Object-Based Image Analysis, Map Updating.",
             abstract = "The images having ground sampling distance of 0.6-1.0m recently 
                         regarded as the high resolution remote sensing images are widely 
                         using in recent remote sensing technologies. They are very 
                         important and required data for obtaining spatial data using their 
                         information contents. With regard to the arrangement of remote 
                         sensing images for any mapping applications, there are some 
                         existing methods, algorithms and the processes for their geometric 
                         corrections and enhancements. Additionally, new approaches of 
                         classification such as object-based image analysis utilize to 
                         obtain information contents of the images widely used in recent 
                         years. In this study, the high resolution QuickBird image of 2004 
                         and IKONOS satellite images of 2002 and 2008 covering Zonguldak 
                         City in Turkey have been used. The testfield is agro-industrial 
                         district in Zonguldak which has rolling topography along the Black 
                         Sea Coast. The urban features like buildings and roads in the 
                         images have been detected, recognized and extracted using 
                         Cognition v4.0.6 software and the object-based classification 
                         approach. The results have been compared with the reference vector 
                         maps scale of 1/5000 of testfield, and the success of object-based 
                         image analysis of final results compared and contrasted 
                         respectively with other vector products, which had been obtained 
                         by the method of on-screen digitizing results, has been tested by 
                         GIS software. Consequently, the results and discussions about the 
                         production and updating of maps at the scales of 1/5000, which are 
                         recently and widely used by local authorities and public 
                         organizations, have been presented.",
  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/3BTG5CS",
                  url = "http://urlib.net/ibi/8JMKD3MGP8W/3BTG5CS",
           targetfile = "089.pdf",
                 type = "Urban Applications",
        urlaccessdate = "02 maio 2024"
}