%0 Conference Proceedings
%4 sid.inpe.br/sibgrapi@80/2007/07.09.18.41
%2 sid.inpe.br/sibgrapi@80/2007/07.09.18.41.05
%@doi 10.1109/SIBGRAPI.2007.10
%T Multilayer Perceptron Classifier Combination for Identification of Materials on Noisy Soil Science Multispectral Images
%D 2007
%A Breve, Fabricio Aparecido,
%A Júnior, Moacir Pereira Ponti,
%A Mascarenhas, Nelson Delfino d'Ávila,
%@affiliation Universidade Federal de São Carlos
%@affiliation Universidade Federal de São Carlos
%@affiliation Universidade Federal de São Carlos
%E Falcão, Alexandre Xavier,
%E Lopes, Hélio Côrtes Vieira,
%B Brazilian Symposium on Computer Graphics and Image Processing, 20 (SIBGRAPI)
%C Belo Horizonte, MG, Brazil
%8 7-10 Oct. 2007
%I IEEE Computer Society
%J Los Alamitos
%S Proceedings
%K classifier combination multilayer perceptron dempster-shafer decision templates bagging soil tomograph images.
%X Classifier combination experiments using the Multilayer Perceptron (MLP) were carried out using noisy soil science multispectral images, which were obtained using a Tomograph scanner. Using few units in the MLP hidden layer, images were classified using a single classifier. Later we used classifier combining techniques as Bagging, Decision Templates (DT) and Dempster-Shafer (DS), in order to improve the performance of the single classifiers and also stabilize the performance of the Multilayer Perceptron. The classification results were evaluated using Cross-Validation. The results showed stabilization of Multilayer Perceptron and improved results were achieved with fewer units in the MLP hidden layer.
%@language en
%3 brevef-ClassifierCombination.pdf