@InProceedings{OliveiraGalo:2011:ApMéOt,
               author = "Oliveira, Henrique C{\^a}ndido de and Galo, Mauricio",
          affiliation = "{Universidade Estadual Paulista – UNESP} and {Universidade 
                         Estadual Paulista – UNESP}",
                title = "Aplica{\c{c}}{\~a}o do m{\'e}todo de Otsu na 
                         separa{\c{c}}{\~a}o de planos de telhados a partir de dados 
                         LIDAR",
            booktitle = "Anais...",
                 year = "2011",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "5486--5492",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 15. (SBSR).",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "LIDAR, LASER, triangula{\c{c}}{\~a}o de Delaunay, M{\'e}todo de 
                         Otsu.",
             abstract = "The process of roof buildings separation from airborne LIDAR is 
                         used in different applications related to Photogrammetry and 
                         Remote Sensing. In this paper a semi-automatic method for 
                         extracting roof using data from LIDAR survey is presented. In this 
                         method the buildings roof are separated on different plans that 
                         are formed. Firstly, based on a previous data, the region of 
                         interest (roof) is isolated in the LIDAR data and a triangular 
                         irregular network (TIN) is created. For each triangle the 
                         orientation is estimated based on the X, Y, Z and angular 
                         component of the unit normal vector. In spite of the LIDAR data 
                         have some noises, the triangles of each roofs plan have the same 
                         orientation, and consequently, the normal vectors will have the 
                         same orientation too. Based on this fact histograms are created 
                         for each components (X,Y,Z) and also for the angle of horizontal 
                         projection of the unit normal vector. By using these histograms it 
                         is possible to obtain the number of plans that form the roof and 
                         furthermore it is possible to determine the threshold necessary to 
                         separate each roofs face. These thresholds are determined by using 
                         Otsu method automatically from those histograms. The experiments 
                         performed in this study, using real data, indicate that this 
                         method is appropriate for simple roof separation, and it can be 
                         adapted for more complex roofs.",
  conference-location = "Curitiba",
      conference-year = "30 abr. - 5 maio 2011",
                 isbn = "{978-85-17-00056-0 (Internet)} and {978-85-17-00057-7 (DVD)}",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "3ERPFQRTRW/3A4SQFE",
                  url = "http://urlib.net/ibi/3ERPFQRTRW/3A4SQFE",
           targetfile = "p1172.pdf",
                 type = "Cartografia, Fotogrametria, Lidar e Sensores",
        urlaccessdate = "09 maio 2024"
}