%0 Conference Proceedings
%4 sid.inpe.br/marte2/2015/06.15.16.52.56
%2 sid.inpe.br/marte2/2015/06.15.16.52.57
%@isbn 978-85-17-0076-8
%F 1594
%T Uso de mapas auto-organizáveis de Kohonen na detecção automática de mudanças na Represa de Paraibuna
%D 2015
%A Santos, Michael Douglas,
%A Mota, Rodrigo Luiz Mendes,
%A Shiguemori, Elcio Hideiti,
%A Ramos, Alexandre Carlos Brandão,
%@electronicmailaddress michaeldouglas@ieav.cta.br
%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 7169-7176
%S Anais
%1 Instituto Nacional de Pesquisas Espaciais (INPE)
%X This paper presents an application of self-organizing maps for change detection in satellite images. The attention is focused on the challenging of change detection automatic in remote sensing, so in this study a post-classification technique based on Kohonen neural network is presented. A pair of images acquired by the Landsat satellite from different period of time from Paraibuna reservoir at State of São Paulo, Brazil, has been employed. As output of the self-organizing maps, it was obtained a map of colors. The results of change detection have been obtained through the comparison between the map of colors.
%9 Mudança de uso e cobertura da Terra
%@language pt
%3 p1594.pdf