@InProceedings{SantosSantShig:2017:InMéCl,
               author = "Santos, Michael Douglas Lemes dos and Sant’Anna, Sidnei Jo{\~a}o 
                         Siqueira and Shiguemori, Elcio Hideiti",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais} and {Instituto 
                         Nacional de Pesquisas Espaciais} and {Instituto de Estudos 
                         Avan{\c{c}}ados}",
                title = "Integra{\c{c}}{\~a}o de m{\'e}todos de 
                         classifica{\c{c}}{\~a}o de imagens derivados da Teoria da 
                         Informa{\c{c}}{\~a}o",
            booktitle = "Proceedings...",
                 year = "2017",
               editor = "Torchelsen, Rafael Piccin and Nascimento, Erickson Rangel do and 
                         Panozzo, Daniele and Liu, Zicheng and Farias, Myl{\`e}ne and 
                         Viera, Thales and Sacht, Leonardo and Ferreira, Nivan and Comba, 
                         Jo{\~a}o Luiz Dihl and Hirata, Nina and Schiavon Porto, Marcelo 
                         and Vital, Creto and Pagot, Christian Azambuja and Petronetto, 
                         Fabiano and Clua, Esteban and Cardeal, Fl{\'a}vio",
         organization = "Conference on Graphics, Patterns and Images, 30. (SIBGRAPI)",
            publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
             keywords = "Teoria da Informa{\c{c}}{\~a}o, SAR, classifica{\c{c}}{\~a}o 
                         de imagens, dist{\^a}ncia estoc{\'a}stica.",
             abstract = "Many sensors for image acquisition has been widely employed in 
                         remote sensing. With improvements on temporal, spatial, spectral, 
                         and radiometric resolutions of these satellite observations it has 
                         been possible to classify land surfaces more accurately and 
                         precisely. The availability of these data makes it important to 
                         offer users state-of-the-art techniques for classifying images 
                         from different sensors. One of the most used Geographic 
                         Information System is TerraView, a freely available geographic 
                         data viewer with resources that include database queries and data 
                         analysis. As TerraView has not yet incorporated some of the 
                         advances stemming from the Information Theory framework, in this 
                         work we present the current state of the development of a system 
                         which integrates such tools, in order to classify images.",
  conference-location = "Niter{\'o}i, RJ, Brazil",
      conference-year = "17-20 Oct. 2017",
             language = "pt",
                  ibi = "8JMKD3MGPAW/3PJ5KN8",
                  url = "http://urlib.net/ibi/8JMKD3MGPAW/3PJ5KN8",
           targetfile = "Sibgrapi_2017 final.pdf",
        urlaccessdate = "2024, May 01"
}