@InProceedings{OliveiraSantMedeFerr:2017:AvAcPo,
               author = "Oliveira, Livia Minette Minette de and Santos, Afonso de Paula dos 
                         and Medeiros, Nilcilene das Gra{\c{c}}as and Ferraz, Ant{\^o}nio 
                         Santana",
                title = "Avalia{\c{c}}{\~a}o da acur{\'a}cia posicional das imagens do 
                         sat{\'e}lite CBERS-4 sensor MUX",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "1643--1651",
         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 = "Orbital images have been widely used nowadays, and they have been 
                         aided the process of cartographic updating. CBERS-4 is a satellite 
                         that was developed, in partnership, between Brazilian and Chinese 
                         government. Since it is a recent satellite, there are a few 
                         studies about the images positional quality, and the products 
                         created of them. Therefore, this research objective was analyze 
                         the positional accuracy of two CBERS-4 sensor MUX images. One of 
                         the images was obtained by the Chinese images processing center, 
                         and the other image was obtained by the Brazilian images 
                         processing center. Located at the city of Vi{\c{c}}osa-MG, the 
                         study area was S\āo Bartolomeu basin zone. ArcGIS software 
                         was used to collect and manipulate homologous points, through 
                         orbital images acquired of CBERS-4 satellite, and Ikonos satellite 
                         orthorectified image, 1:10,000 scale, as reference. These points, 
                         posteriorly, were analyzed and classified by GEOPEC software, 
                         which uses the positional accuracy of Brazilian standard. Law 
                         number 89,817 defines this standard. CBERS-4 available image, 
                         processed in China, got classification B for 1:1,000,000 scale, 
                         and it was classified as tendentious. But, it got classification A 
                         after being translated, for a 1:100,000 scale, and it was 
                         classified as non-tendentious. The tendency test which uses 
                         circular directional average, and circular variance was used to 
                         define if the images were tendentious. CBERS-4 available image, 
                         processed in Brazil, got classification A for 1:50,000 scales, and 
                         it was classified as tendentious. It got classification A even 
                         after being translated, for a 1:50,000 scales, and it was 
                         classified as non-tendentious.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59241",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSLP3M",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLP3M",
           targetfile = "59241.pdf",
                 type = "Cartografia e fotogrametria",
        urlaccessdate = "27 abr. 2024"
}