@InProceedings{AbreuFonsSantRibe:2013:FeDeNu,
               author = "Abreu, Eric Silva and Fonseca, Leila Maria Garcia and Santos, 
                         Clotilde Pinheiro Ferri dos and Ribeiro, Vanildes Oliveira",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "{"}Cloud Detection Tool'' -  Uma ferramenta para a 
                         detec{\c{c}}{\~a}o de nuvens e sombras em imagens de 
                         sat{\'e}lite",
            booktitle = "Anais...",
                 year = "2013",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "4234--4241",
         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 = "The DETER (Real Time Deforestation Detection) and SISPRODES 
                         (Annual Deforestation Monitoring) systems use satellite images for 
                         deforestation monitoring in the Legal Amazon. While DETER provides 
                         information about forest clearing in near real-time using 
                         low-resolution images (250 m), SISPRODES estimates the 
                         deforestation on a year-to-year basis using medium-resolution 
                         images(20-30 m). In both systems, clouds and shadows present in 
                         the images make difficulty the image analysis procedures. Within 
                         this context, this paper presents a methodology to detect clouds 
                         and shadow to assist PRODES and DETER systems to process the 
                         images. The method proposed in this work is based mainly on the 
                         image spectral information, and image processing techniques such 
                         as morphological filtering and threshold operations. Some 
                         experimental tests to valid the methodology are performed and 
                         although some confusion in detecting shadows still occurs the 
                         results are very promising.",
  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 = "1188",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "3ERPFQRTRW34M/3E7GJMJ",
                  url = "http://urlib.net/ibi/3ERPFQRTRW34M/3E7GJMJ",
           targetfile = "p1188.pdf",
                 type = "Geoprocessamento e Aplica{\c{c}}{\~o}es",
        urlaccessdate = "04 maio 2024"
}