@InProceedings{ValdiviaBitt:2013:GeImSi,
               author = "Valdivia, Henrique Beck and Bittencourt, Helio Radke",
                title = "Gera{\c{c}}{\~a}o de imagens sint{\'e}ticas para 
                         utiliza{\c{c}}{\~a}o em estudos de detec{\c{c}}{\~a}o de 
                         mudan{\c{c}}as",
            booktitle = "Anais...",
                 year = "2013",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "1696--1702",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 16. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Remotely-sensed images of the same area acquired on different 
                         dates tend to be affected by radiometric differences and 
                         registration problems. These influences are considered as noise in 
                         the process and it is a critical problem when the difference image 
                         is used for change detection purposes. Most change detection 
                         methods are based on image differencing and this kind of image 
                         presents more noisy than the original ones because the variance is 
                         statistically computed by the sum of each image individual 
                         variance (minus two times the covariance. This fact causes in the 
                         difference image the appearance of at least two populations: i) 
                         the noise-like and ii) the real changes. It is not easy to 
                         separate the noise from the signal because it is impossible to 
                         determine where the noise ends and the signal begins. The 
                         knowledge about the noise is essential for the generation of 
                         synthetic images and there is a lack of studies about the 
                         acceptable level to be added on images to simulate real 
                         situations. This paper reports on the use of synthetic images for 
                         change detection accuracy assessment and attempts to suggest 
                         values of SNR (signal-to-noise ratio). The experimental results 
                         obtained from experiments performed on TM-Landsat-showed that SNR 
                         values lower than 8 as more realistic for the bands in which there 
                         is maximum spectral response.",
  conference-location = "Foz do Igua{\c{c}}u",
      conference-year = "13-18 abr. 2013",
                 isbn = "{978-85-17-00066-9 (Internet)} and {978-85-17-00065-2 (DVD)}",
                label = "1480",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "3ERPFQRTRW34M/3E7GLK2",
                  url = "http://urlib.net/ibi/3ERPFQRTRW34M/3E7GLK2",
           targetfile = "p1480.pdf",
                 type = "An{\'a}lise e Aplica{\c{c}}{\~a}o de Imagens Multitemporais",
        urlaccessdate = "08 maio 2024"
}