%0 Conference Proceedings
%4 dpi.inpe.br/marte2/2013/05.29.00.32.13
%2 dpi.inpe.br/marte2/2013/05.29.00.32.14
%@isbn 978-85-17-00066-9 (Internet)
%@isbn 978-85-17-00065-2 (DVD)
%F 1188
%T "Cloud Detection Tool'' - Uma ferramenta para a detecção de nuvens e sombras em imagens de satélite
%D 2013
%A Abreu, Eric Silva,
%A Fonseca, Leila Maria Garcia,
%A Santos, Clotilde Pinheiro Ferri dos,
%A Ribeiro, Vanildes Oliveira,
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@electronicmailaddress eric@dpi.inpe.br
%E Epiphanio, José Carlos Neves,
%E Galvão, Lênio Soares,
%B Simpósio Brasileiro de Sensoriamento Remoto, 16 (SBSR)
%C Foz do Iguaçu
%8 13-18 abr. 2013
%I Instituto Nacional de Pesquisas Espaciais (INPE)
%J São José dos Campos
%P 4234-4241
%S Anais
%1 Instituto Nacional de Pesquisas Espaciais (INPE)
%X The DETER (Real Time Deforestation Detection) and SISPRODES (Annual Deforestation Monitoring) systems use satellite images for deforestation monitoring in the Legal Amazon. While DETER provides information about forest clearing in near real-time using low-resolution images (250 m), SISPRODES estimates the deforestation on a year-to-year basis using medium-resolution images(20-30 m). In both systems, clouds and shadows present in the images make difficulty the image analysis procedures. Within this context, this paper presents a methodology to detect clouds and shadow to assist PRODES and DETER systems to process the images. The method proposed in this work is based mainly on the image spectral information, and image processing techniques such as morphological filtering and threshold operations. Some experimental tests to valid the methodology are performed and although some confusion in detecting shadows still occurs the results are very promising.
%9 Geoprocessamento e Aplicações
%@language pt
%3 p1188.pdf