تماشای ویدئو ERDAS Imagine Classification using Maximum likelihood Classifier از آی-ویدئو

This video demonstrates how to perform image classification using Maximum likelihood Classifier in ERDAS Imagine. In statistics, maximum likelihood estimation (MLE) is a method of estimating the parameters of a statistical model given observations, by finding the parameter values that maximize the likelihood of making the observations given the parameters. MLE can be seen as a special case of the maximum a posteriori estimation (MAP) that assumes a uniform prior distribution of the parameters, or as a var
25 اسفند 1396
آی-ویدئو