@InProceedings{MacielVinhCâma:2015:ApTéPr,
               author = "Maciel, Adeline Marinho and Vinhas, L{\'u}bia and C{\^a}mara, 
                         Gilberto",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Aplica{\c{c}}{\~a}o de t{\'e}cnicas de processamento digital de 
                         imagens usando a extens{\~a}o espacial PostGIS Raster em imagens 
                         de sensoriamento remoto",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "4651--4658",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 17. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Remote sensing images are largely used for monitoring and combat 
                         deforestation at Brazil. One example of environmental monitoring 
                         project, based in remote sensing images is the PRODES Project that 
                         detects the deforestations and performs the processing necessary 
                         for that deforestation data can be used in different studies, for 
                         example, study about land use and cover changes. Some of the 
                         techniques used in this process consist in extracting information 
                         about deforestation polygons detected. This information helps in 
                         the identification of deforestation patterns and understanding of 
                         processes and actors involved in the land use and cover changes. 
                         With advance of the research the Database Management Systems 
                         (DBMS) offer spatial extension which allow that the spatial data 
                         management, raster and geometry kind, be done by the DBMS. This 
                         paper uses functionalities of the PostGIS Raster spatial extension 
                         for applying image digital processing techniques, such as, 
                         enhancement, classification and feature extraction with landscape 
                         metrics in remote sensing image. The results show that use spatial 
                         extension is possible for a well-defined study domain, such as 
                         deforestation. Furthermore, the extraction of landscape metrics 
                         for deforestation objects through PostGIS showed be a promising 
                         and important alternative to the use of spatial extents in terms 
                         of interoperability among systems.",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "909",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM4D58",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM4D58",
           targetfile = "p0909.pdf",
                 type = "Geoprocessamento e aplica{\c{c}}{\~o}es",
        urlaccessdate = "27 abr. 2024"
}