%0 Conference Proceedings
%4 sid.inpe.br/sibgrapi/2017/09.04.20.43
%2 sid.inpe.br/sibgrapi/2017/09.04.20.43.58
%T Integração de métodos de classificação de imagens derivados da Teoria da Informação
%D 2017
%A Santos, Michael Douglas Lemes dos,
%A Sant’Anna, Sidnei João Siqueira,
%A Shiguemori, Elcio Hideiti,
%@affiliation Instituto Nacional de Pesquisas Espaciais
%@affiliation Instituto Nacional de Pesquisas Espaciais
%@affiliation Instituto de Estudos Avançados
%E Torchelsen, Rafael Piccin,
%E Nascimento, Erickson Rangel do,
%E Panozzo, Daniele,
%E Liu, Zicheng,
%E Farias, Mylène,
%E Viera, Thales,
%E Sacht, Leonardo,
%E Ferreira, Nivan,
%E Comba, João Luiz Dihl,
%E Hirata, Nina,
%E Schiavon Porto, Marcelo,
%E Vital, Creto,
%E Pagot, Christian Azambuja,
%E Petronetto, Fabiano,
%E Clua, Esteban,
%E Cardeal, Flávio,
%B Conference on Graphics, Patterns and Images, 30 (SIBGRAPI)
%C Niterói, RJ, Brazil
%8 17-20 Oct. 2017
%I Sociedade Brasileira de Computação
%J Porto Alegre
%S Proceedings
%K Teoria da Informação, SAR, classificação de imagens, distância estocástica.
%X 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.
%@language pt
%3 Sibgrapi_2017 final.pdf