@InProceedings{AlencarCost:2011:ApImSe,
               author = "Alencar, Gilson Alves de and Costa, Renata Braz Falc{\~a}o da",
          affiliation = "{Centro Federal de Educa{\c{c}}{\~a}o Tecnol{\'o}gica Celso 
                         Suckow da Fonseca – CEFET/RJ} and rbfcosta@cefet-rj.br",
                title = "Aplica{\c{c}}{\~o}es de Imagens de Sensoriamento Remoto no 
                         Estudo de Modelos de Propaga{\c{c}}{\~a}o em Redes de 
                         Comunica{\c{c}}{\~o}es Sem fio",
            booktitle = "Anais...",
                 year = "2011",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "2600--2607",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 15. (SBSR).",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "wireless communications, propagation models, remote sensing 
                         satellites, comunica{\c{c}}{\~o}es sem fio, modelos de 
                         propaga{\c{c}}{\~a}o, sat{\'e}lites de sensoriamento remoto.",
             abstract = "Propagation models for coverage prediction in wireless 
                         communications are strongly influenced by terrain features. A good 
                         knowledge of terrain profile can help us to carried out 
                         simulations of propagation models with better accuracy. Most of 
                         these models taking into account information of building density, 
                         vegetation and water for the path loss estimation between a base 
                         station and a user terminal. In this sense, images from remote 
                         sensing satellites are very useful to obtain details about terrain 
                         occupation to perform a coverage analysis in a wireless 
                         metropolitan network. In other to assess building and vegetation 
                         occupation density, real reflectance of a image and a 
                         classification method were used. The SUI (Stanford University 
                         Interim) propagation model considering frequencies around to 2.5 
                         GHz were analyzed with terrain features extract from images of 
                         remote sensing satellites as CBERS-2B. All analyzes were performed 
                         considering a WiMAX (Worldwide Interoperability for Microwave 
                         Access) network standard for fixed wireless applications. 
                         Maracan{\~a} in Rio de Janeiro was our choice to the location 
                         where the coverage analysis should be performed. Communication 
                         solutions in this area are expected to attend future demands of 
                         events as 2014 World Cup and 2016 Olympic Games.",
  conference-location = "Curitiba",
      conference-year = "30 abr. - 5 maio 2011",
                 isbn = "{978-85-17-00056-0 (Internet)} and {978-85-17-00057-7 (DVD)}",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "3ERPFQRTRW/3A4DAPP",
                  url = "http://urlib.net/ibi/3ERPFQRTRW/3A4DAPP",
           targetfile = "p1290.pdf",
                 type = "Cartografia, Fotogrametria, Lidar e Sensores",
        urlaccessdate = "15 jun. 2024"
}