@InProceedings{DomicianoDiasShigSilv:2017:EsAuMo,
               author = "Domiciano, Marco Antonio Pizani and Dias, Luiz Alberto Vieira and 
                         Shiguemori, Elcio Hideiti and Silva Filho, Paulo Fernando 
                         Ferreira",
                title = "Estima{\c{c}}{\~a}o Autom{\'a}tica do Modelo Digital de 
                         Eleva{\c{c}}{\~a}o a partir de Imagens A{\'e}rea",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "7891--7898",
         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 development and employment of UAV have grown in last years. 
                         With this, theapplications have also been increase. Among the 
                         applications, an important process is to automaticestimation of 
                         the Digital Elevation Model for a specific area. In many cases, it 
                         is important that the flightbe made autonomously. The successful 
                         autonomous aerial navigation is dependent on several factors,among 
                         them the location of the unmanned aerial vehicle into the 
                         geographical space. In order to achievethis goal, there exist 
                         techniques that combine the Satellite Position System (SPS) with 
                         the InertialNavigation System (INS). However, these techniques 
                         have been dependent on external data (signal fromthe SPS), that 
                         could not be available during the vehicle operation. When the SPS 
                         and the INS are notavailable, Computational Vision is an 
                         alternative for the navigation. Some studies have been 
                         developedabout navigation with the use of images and Digital 
                         Elevation Models. In this paper it is presented anapproach to 
                         automatically estimate a Digital Elevation Model using aerial 
                         images. Different techniqueshave been used to obtain 
                         characteristic points, from two images obtained at different 
                         instants. TheZernike Moment and Particle Collision Algorithm are 
                         used to find correspondence between the aerialimages. The results 
                         show that the proposed techniques have been suitable for this 
                         problem.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59991",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSMGK2",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMGK2",
           targetfile = "59991.pdf",
                 type = "Cartografia e fotogrametria",
        urlaccessdate = "27 abr. 2024"
}