Pedro Ronalt Vieira - DPI - Inpe

148
Frery, A.C.; MÄuller, H.J.; Yanasse, C.C.F.; Sant'Anna, S.J.S. A Model for Ex-
tremely Heterogeneous Cluter. Nov 1995. (Submetido µa IEEE T.G.R.S).
Geman, D. Random ¯elds and inverse problems in imaging. In: Hennequin, P.
L., ed. Ecole d'ete de probabilites de Saint-Flour XVIII-1988. Berlin.
Springer-Verlag, 1988. (Lecture Notes in Mathematics, 1427).
Geman, D.; Geman, S.; Gra±gne, C; Dong, P. Boundary detection by constrained
optimization. IEEE Transactions on Pattern Analysis and Machine In-
telligence. PAMI-12(7):609-628, 1990.
Geman, S.; Geman, D. Stochastic relaxation, Gibbs distributions, and the Bayesian
restoration of images. IEEE Transactions on Pattern Analysis and Ma-
chine Intelligence. PAMI-6(6):721-741, Nov, 1984.
Georgii, H. Gibbs measures andphase transitions. Berlin,Walter De Gruyter,
1988. (De Gruyter Studies in Mathematics. 9).
Gradshteyn, I.S.; Ryzhik, I.M. Table of Integrals, Series, and Products. New
York, NY, Academic Press, 1965. 1086p.
Huang, K. Statistical mechanics. New York, John Wiley, 1963.
Hudson,W.D.; Ramm,C.W. CorrectFormulationofthe Kappa Coe±cient ofAgree-
ment. PhotogrammetricEnginnering and Remote Sensing, 53(4):421-422,
1987.
Instituto Naional de Pesquisas Espaciais (INPE). SPRING 1.1: Manual de
Opera»c~ao. INPE, S~ao Jose dos Campos, 1995.
James, B.R. Probabilidade: umcursoemn³velintermediario. Rio deJaneiro,
Instituto de Matematica Pura e Aplicada, 1981.
Jensen, J.L.; Moller, J. Pseudolikelihood for exponential family models of
spatial processes. Denmark, Department of Theoretical Statistics, Institute of
Mathematics, University of Arhus, s.d.