@InProceedings{RobertoLimaSantShig:2017:CoDiPr,
               author = "Roberto, Leandro and Lima, Sidney Andrade de and Sant'Anna, Sidnei 
                         Jo{\~a}o Siqueira and Shiguemori, Elcio Hideiti",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Corre{\c{c}}{\~a}o de distor{\c{c}}{\~a}o projetiva em imagens 
                         obtidas com c{\^a}mera a bordo de VANT",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "7467--7474",
         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 = "This paper presents a correction technique for the geometric 
                         distortion that affects images from cameras aboard UAV when in 
                         off-nadir conditions. This kind of lightweight platform is 
                         extremely susceptible to turbulences, and often does not have a 
                         gyro stabilized gimbal to keep camera pointed to nadir, so it is 
                         common to occur off-nadir extrapolations with significant effects 
                         on the image geometry. So, when you want to extract reliable 
                         metric information from the image or to enable accurate matching 
                         in a Geographic Information System GIS in order to perform fusion 
                         or geoprocessing, this distortion must be known and corrected. 
                         Among the various existing correction methods, we present here the 
                         parametric approach that uses the collinearity equations, that 
                         requires camera external orientation parameters. We present all 
                         mathematical formulations for the correction, definitions of 
                         camera geometric parameters and how to calculate them. Another 
                         important contribution of this paper is the demonstration of 
                         difference between the roll-pitch-yaw angles commonly used in 
                         aeronautical systems, and the omega-phi-kappa angles commonly used 
                         in photogrammetric systems. People may make some confusion about 
                         that when extracting UAV data to be used in photogrammetry 
                         software. We present clear definition of reference axes and 
                         rotation angles for each system and the mathematical development 
                         to perform conversion. For practical demonstration, we applied 
                         these techniques to some off-nadir images from a small-format 
                         camera on a fixed-wing UAV with known position and attitude angles 
                         and. Thus, we were able to perform image resampling to correct the 
                         projective distortion.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59990",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSMFQ7",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMFQ7",
           targetfile = "59990.pdf",
                 type = "Cartografia e fotogrametria",
        urlaccessdate = "27 abr. 2024"
}