Adaptive Bayes classifiers for remotely sensed data
H. S. Raulston, Michele Pace, R. C. Gonzalez · Purdue e-Pubs (Purdue University System) · 1975
A new technique for the adaptive estimation of statistics necessary for Bayesian classification is developed. The basic approach to the adaptive estimation procedure consists of two steps: (1) an optimal stochastic approximation of the parameters of interest and (2) a projection of the parameters in time or space. Comparative results of a practical application are shown.