@InProceedings{RibeiroFons:2012:EvWoIm,
               author = "Ribeiro, B{\'a}rbara and Fonseca, Leila Maria Garcia",
          affiliation = "{} and undefined",
                title = "Evaluation of WorldView-2 imagery for urban land cover mapping 
                         using the InterIMAGE system",
            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 = "206--210",
         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 = "urban remote sensing, Object-Based Image Analysis (OBIA), 
                         InterIMAGE, high resolution images.",
             abstract = "Mapping of urban land cover using remote sensing technology has 
                         been widely explored, especially with the recent availability of 
                         high resolution images and object-based processing techniques. 
                         This study uses the InterIMAGE system and WorldView-2 orbital 
                         sensor imagery, two technologies which are new and still little 
                         explored in urban studies, to classify land cover in five 
                         test-sites near to the western section of Rodoanel M{\'a}rio 
                         Covas, a ring-road that surrounds the metropolitan area of 
                         S{\~a}o Paulo, Brazil. The work hypothesis is: the spectral 
                         resolution increase of WorldView-2 imagery, compared to previous 
                         sensor systems, can improve the identification of urban targets, 
                         and consequently, improve the land cover classification. To 
                         evaluate the effects of the increase on spectral resolution of 
                         WorldView-2 system images, we simulated an image based on data 
                         from the QuickBird-2 sensor. Moreover, the framework for image 
                         classification InterIMAGE, which has been developed by PUC-RJ in 
                         cooperation with INPE, shows great potential for classifying 
                         complex urban areas. The proposed methodology is efficient to map 
                         the land cover in complex urban areas and the final classification 
                         of WorldView-2 images achieved an overall accuracy of 83% and a 
                         Kappa Accuracy Index of 0.81. The typical classification conflicts 
                         were solved, with a good identification of fifteen land cover 
                         classes. The results showed that the new spectral bands of the 
                         WorldView-2 were essential for discriminating some urban objects 
                         such as Ceramic Tile and Bare Soil, usually, difficult to be 
                         identified with other sensors of high spatial resolution, such as 
                         QuickBird-2.",
  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/3BTG5MP",
                  url = "http://urlib.net/ibi/8JMKD3MGP8W/3BTG5MP",
           targetfile = "060.pdf",
                 type = "Urban Applications",
        urlaccessdate = "10 maio 2024"
}