Object-Oriented Semisupervised Classification of VHR Images by Combining MedLDA and a Bilateral Filter

Figure 2

Graphic model. The shaded nodes including the pixel value and the set of distance coefficients in the th image object represent the observed random variables, and the hashed fill node including denotes the partially observed random variable class. The intuitional explanations of the model are shown at the end of the red arrows.