%0 Conference Proceedings
%4 ltid.inpe.br/sbsr/2004/11.19.19.46
%2 ltid.inpe.br/sbsr/2004/11.19.19.46.05
%@isbn 85-17-00018-8
%T Correção radiométrica de imagens multiespectrais CBERS e Landsat ETM usando atributos de reflectância e de cor
%D 2005
%A Polidorio, Airton Marco,
%A Franco, Clélia,
%A Imai, Nilton Nobuhiro,
%A Tommaselli, Antonio Maria Garcia,
%A Galo, Maria de Lourdes Bueno Trindade,
%@affiliation Universidade Estadual de Maringá - UEM
%@affiliation Universidade Estadual de Maringá - UEM
%@affiliation Universidade Estadual Paulista – UNESP
%@affiliation Universidade Estadual Paulista – UNESP
%@affiliation Universidade Estadual Paulista – UNESP
%E Epiphanio, José Carlos Neves,
%E Fonseca, Leila Maria Garcia,
%B Simpósio Brasileiro de Sensoriamento Remoto, 12 (SBSR)
%C Goiânia
%8 16-21 abr. 2005
%I INPE
%J São José dos Campos
%P 4241-4248
%S Anais
%1 Instituto Nacional de Pesquisas Espaciais
%K Remote Sensing, image enhance, atmospheric effects, Sensoriamento Remoto, realce de imagens, efeitos atmosféricos.
%X Atmospheric influence on electromagnetic radiation is a severe obstacle to remote sensing. Analysis and interpretation of aerial images are difficult due to the different effects caused by atmospheric scattering, absorption and weather conditions. The atmosphere has an influence on the measured signal and can drastically alter the spectral nature of the radiation at-sensor level. Those atmospheric effects must therefore be eliminated before any analysis. This work presents a new method for atmospheric scattering and absorption effects reduction, which is based on the radiometric and colors properties of dark and clear features. This method, besides reducing the atmospheric effects, promotes a significant enhance of contrast among the features in the image, making the analysis and interpretation process of spectral images easier.
%9 Processamento de Imagens
%@language Português
%3 4241.pdf