%0 Conference Proceedings
%4 sid.inpe.br/banon/2002/10.24.09.40
%2 sid.inpe.br/banon/2002/10.24.09.40.40
%@doi 10.1109/SIBGRA.2002.1167128
%T Non-parametric smoothing for relative radiometric correction on remotely sensed data
%D 2002
%A Velloso, Maria Luiza F.,
%A Souza, Flávio J. de,
%E Gonçalves, Luiz Marcos Garcia,
%E Musse, Soraia Raupp,
%E Comba, João Luiz Dihl,
%E Giraldi, Gilson,
%E Dreux, Marcelo,
%B Brazilian Symposium on Computer Graphics and Image Processing, 15 (SIBGRAPI)
%C Fortaleza, CE, Brazil
%8 10-10 Oct. 2002
%I IEEE Computer Society
%J Los Alamitos
%S Proceedings
%1 SBC - Brazilian Computer Society
%X Digital change detection methods have been broadly divided into either pre-classification spectral change detection or post-classification change detection. Since all spectral change detection methods are based on pixel-wise plus operations or scene-wise plus pixel-wise operations, accuracy in image registration and scene-to-scene radiometric normalization is more critical for these methods than for other methods. A wide range of algorithms has been developed to adjust linear models. This paper proposes an automated radiometric normalization process that automatically extracts the training dataset and uses a non-parametric smoother to adjust a non-linear mapping to minimize the effects of the influences of radiometric differences on image interpretation and classification.
%@language en
%3 64.pdf
%O The conference was held in Fortaleza, CE, Brazil, from October 7 to 10.