@InProceedings{NiemannGrohMoreSilv:2017:MéFiGe,
               author = "Niemann, Rafaela Soares and Grohmann, Carlos Henrique and 
                         Morellato, Leonor Patricia Cerdeira and Silva, Thiago Sanna 
                         Freire",
                title = "M{\'e}todos para filtragem e gera{\c{c}}{\~a}o de modelos 
                         digitais de terreno a partir de imagens obtidas por 
                         ve{\'{\i}}culos a{\'e}reos n{\~a}o tripulados",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "5080--5087",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "The quality of the digital elevation models determines the quality 
                         of geomorphometric analysis. Remote sensing can help with the 
                         acquisition of more information on this relationship, especially 
                         through high spatial resolution sensors and sensors with 
                         three-dimensional imaging capabilities. Imaging by Unmanned Aerial 
                         Vehicles (UAVs) is still poorly explored, but can provide 
                         information with high spatial and temporal resolution, compared to 
                         data obtained by satellite sensors, and with low cost. Computer 
                         vision algorithms, such as Structure from Motion (SFM), allow the 
                         extraction of three-dimensional points from overlaying images 
                         obtained by UAVs, which are used to generate Digital Surface 
                         Models (DSM) by interpolation algorithms. Here we present a 
                         methodological approach to generate a Digital Terrain Model (DTM) 
                         from UAV imaging, point cloud interpolation, and DSM filtering. 
                         Non-ground objects are removed from the surface using mathematical 
                         morphology and robust filtering. Moreover, the study contributes 
                         to the methodological improvement of environmental studies based 
                         on the emerging technology offered by UAVs.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59685",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSM48T",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSM48T",
           targetfile = "59685.pdf",
                 type = "VANTs, videografia e alta resolu{\c{c}}{\~a}o",
        urlaccessdate = "27 abr. 2024"
}