@InProceedings{SilvaBoggGarc:2017:ReSiCo,
               author = "Silva, Raquel Reis da and Boggione, Giovanni Araujo and Garcia, 
                         Alexandre de Souza",
                title = "A rela{\c{c}}{\~a}o sinal/ru{\'{\i}}do como par{\^a}metro de 
                         avalia{\c{c}}{\~a}o da qualidade de imagens de sensoriamento 
                         remoto",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "2924--2931",
         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 production of images, with radiometric and geometric quality 
                         suitable for various applications in the area of remote sensing, 
                         depends directly on the performance of the sensors on board 
                         satellites. Among the various existing parameters, the 
                         Signal/Noise Ratio in the satellite images is an important 
                         indicator for the assessment of data quality and performance of 
                         satellite sensors throughout its operational life. Methods for 
                         analyzing the Signal/Noise Ratio established by the scientific 
                         community have been described pointing their advantages and 
                         disadvantages as well as the performance of each method based on 
                         his theories. In this work we were estimated relations 
                         Signal/Noise using the Local Variance Method using samples taken 
                         from homogeneous areas of the following sensors: OLI Landsat-8 
                         satellite and MUX / WFI / PAN CBERS-4 satellite. The results 
                         obtained in the experiments responded to this proposed work, which 
                         was to assess whether the results were within the sensor 
                         specifications, and the Local Variance Method is effective, easy 
                         to apply and with a certain reliability of its results.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59707",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSLRFS",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLRFS",
           targetfile = "59707.pdf",
                 type = "An{\'a}lise de s{\'e}ries temporais de imagens de 
                         sat{\'e}lite",
        urlaccessdate = "27 abr. 2024"
}