@InProceedings{LeonardiAlmeFonsTomá:2013:ALDiHe,
               author = "Leonardi, Fernando and Almeida, Cl{\'a}udia Maria de and Fonseca, 
                         Leila Maria Garcia and Tom{\'a}s, L{\'{\i}}via Rodrigues",
          affiliation = "Geopixel Ltda, S{\~a}o Jos{\'e} dos Campos, SP and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)}",
                title = "An ALTM digital height model associated with VHR Imagery for an 
                         object-based classification of intra-urban targets",
            booktitle = "Proceedings...",
                 year = "2013",
                pages = "296--299",
         organization = "Joint Urban Remote Sensing Event, (JURSE).",
            publisher = "IEEE Geoscience and Remote Sensing Society",
                 note = "Setores de Atividade: Administra{\c{c}}{\~a}o p{\'u}blica, 
                         defesa e seguridade social, Atividades dos servi{\c{c}}os de 
                         tecnologia da informa{\c{c}}{\~a}o.",
             keywords = "LIDAR, digital elevation models (DEM), IKONOS, object-based image 
                         analysis, intra-urban targets.",
             abstract = "The study of the urban environment has raised great interest among 
                         researchers and practitioners involved with the use of remote 
                         sensing, in face of the challenges for its investigation, like the 
                         fast and ongoing changes of its structure and the complexity of 
                         its targets. New concepts and analyses have been used for mapping 
                         the urban space. Object-based analysis and multi-resolution 
                         segmentation have been quite efficient in the discrimination of 
                         urban targets in high spatial resolution images. In this context, 
                         this paper proposes a methodology employing cognitive approaches 
                         for the classification of land cover in urban areas using optical 
                         orbital and airborne laser scanning data. The results were 
                         presented and discussed, indicating a satisfactory accuracy in the 
                         generated mapping products, demonstrating the reliability of the 
                         methodology for mapping urban land cover.",
  conference-location = "S{\~a}o Paulo",
      conference-year = "21-23 abr. 2013",
                  doi = "10.1109/JURSE#.2013.655072",
                  url = "http://dx.doi.org/10.1109/JURSE#.2013.655072",
                 isbn = "978-147990213-2",
                label = "lattes: 1861914973833506 2 LeonardiAlmeFonsTom{\'a}:2013:ALDiHe",
             language = "en",
           targetfile = "fernandoleonardi.pdf",
                  url = "http://www.inpe.br/jurse2013/proceedings.php",
        urlaccessdate = "27 abr. 2024"
}