@InProceedings{AlmeidaContHamaRodr:2017:DeAuFu,
               author = "Almeida, Gustavo Jose Ferreira de and Conto, Tiago de and 
                         Hamamura, Caio and Rodriguez, Luiz Carlos Estraviz",
                title = "Detec{\c{c}}{\~a}o autom{\'a}tica de fustes em povoamentos 
                         florestais usando laser scanner terrestre",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "6320--6327",
         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 = "LiDAR (Light Detection and Ranging) is a technology gaining 
                         worldwide acceptance as precise method for generating 3D models of 
                         surfaces and objects, as well as for forests. TLS, or terrestrial 
                         laser scanning, is a method of LiDAR data generation which uses a 
                         laser scanning device at floor level. The objective of this paper 
                         was to evaluate the capacity of algorithms based on Hough 
                         transformation to automatically detect stems within a point cloud 
                         originated from TLS survey. The study was held in southeastern 
                         Brazil in two different stands with Pinus baramensis and 
                         Eucalyptus sp with 23 and 7 years old, respectively, and two pixel 
                         sizes and five different heights were considered to evaluate the 
                         precision of the method regarding to percentage of stems detected. 
                         The results showed that the higher the raster was generated along 
                         z axis the higher the % os stems detected for both species. It was 
                         also shown that pixel size of 5 cm resulted in higher stem 
                         detection in comparison to 10 cm sized pixel. For Pinus baramensis 
                         there was no statistically difference between pixel sizes (p < 
                         0,05); for Eucalyp0tus sp, on the other hand, 5 cm pixel size 
                         showed higher performance on stem detection than 10 cm sized 
                         pixels (p < 0,05). The authors suggest that further studies must 
                         be carried to consistently evaluate the effect of TLS data on 
                         higher heights inside forest stands in order to minimize the 
                         effect of under-canopy vegetation on TLS data collection.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "60072",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSMCM2",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMCM2",
           targetfile = "60072.pdf",
                 type = "LIDAR: sensores e aplica{\c{c}}{\~o}es",
        urlaccessdate = "27 abr. 2024"
}