@InProceedings{CarrilhoIvánGalo:2017:QuAsAu,
               author = "Carrilho, Andr{\'e} Caceres and Iv{\'a}nov{\'a}, Ivana and 
                         Galo, Mauricio",
                title = "Quality assessment for automatic LiDAR data classification 
                         methods",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "6772--6779",
         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 provides an initial discussion on standardization of 
                         quality assessment of thematic accuracy of classification methods 
                         applied to LiDAR (Light Detection And Ranging) data. The 
                         literature review exposes an overall lack of consensus for quality 
                         control regarding LiDAR point clouds and derived products. To 
                         mitigate this problem, the information retrieval theory is 
                         reviewed and a case study is presented aiming at the thematic 
                         accuracy analysis that precision, recall and F-score elements can 
                         provide. Fitness for use is discussed focusing on the selection of 
                         spatial data quality elements for practical applications, and an 
                         approach for algorithm evaluation is presented. Although many 
                         alternatives can be considered in solving this problem, some 
                         directions are appointed in order to continue the research.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "60073",
             language = "en",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSMDGK",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMDGK",
           targetfile = "60073.pdf",
                 type = "LIDAR: sensores e aplica{\c{c}}{\~o}es",
        urlaccessdate = "27 abr. 2024"
}