Fonte: Pattern Recognition Letters. Unidade: IFSC
Assuntos: PROCESSAMENTO DE IMAGENS, ANÁLISE ESTATÍSTICA DE DADOS, RECONHECIMENTO DE IMAGEM, PROCESSOS DE MARKOV, CLASSIFICAÇÃO, COMBINATÓRIA PROBABILÍSTICA
ABNT
LEVADA, Alexandre L. M. e MASCARENHAS, Nelson D. A. e TANNUS, Alberto. A novel MAP-MRF approach for multispectral image contextual classification using combination of suboptimal iterative algorithms. Pattern Recognition Letters, v. 31, n. 13, p. 1795-1808, 2010Tradução . . Disponível em: https://doi.org/10.1016/j.patrec.2010.04.007. Acesso em: 26 ago. 2024.APA
Levada, A. L. M., Mascarenhas, N. D. A., & Tannus, A. (2010). A novel MAP-MRF approach for multispectral image contextual classification using combination of suboptimal iterative algorithms. Pattern Recognition Letters, 31( 13), 1795-1808. doi:10.1016/j.patrec.2010.04.007NLM
Levada ALM, Mascarenhas NDA, Tannus A. A novel MAP-MRF approach for multispectral image contextual classification using combination of suboptimal iterative algorithms [Internet]. Pattern Recognition Letters. 2010 ; 31( 13): 1795-1808.[citado 2024 ago. 26 ] Available from: https://doi.org/10.1016/j.patrec.2010.04.007Vancouver
Levada ALM, Mascarenhas NDA, Tannus A. A novel MAP-MRF approach for multispectral image contextual classification using combination of suboptimal iterative algorithms [Internet]. Pattern Recognition Letters. 2010 ; 31( 13): 1795-1808.[citado 2024 ago. 26 ] Available from: https://doi.org/10.1016/j.patrec.2010.04.007