%0 Conference Proceedings
%4 sid.inpe.br/marte2/2015/06.15.15.44.12
%2 sid.inpe.br/marte2/2015/06.15.15.44.13
%@isbn 978-85-17-0076-8
%F 909
%T Aplicação de técnicas de processamento digital de imagens usando a extensão espacial PostGIS Raster em imagens de sensoriamento remoto
%D 2015
%A Maciel, Adeline Marinho,
%A Vinhas, Lúbia,
%A Câmara, Gilberto,
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@electronicmailaddress adelsud6@gmail.com
%E Gherardi, Douglas Francisco Marcolino,
%E Aragão, Luiz Eduardo Oliveira e Cruz de,
%B Simpósio Brasileiro de Sensoriamento Remoto, 17 (SBSR)
%C João Pessoa
%8 25-29 abr. 2015
%I Instituto Nacional de Pesquisas Espaciais (INPE)
%J São José dos Campos
%P 4651-4658
%S Anais
%1 Instituto Nacional de Pesquisas Espaciais (INPE)
%X 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.
%9 Geoprocessamento e aplicações
%@language pt
%3 p0909.pdf