Detection of buildings from a single airborne image using a Markov random field model

Abstract

We propose an automated method for the detection of buildings from a single airborne color optical image using a dedicated Markov random field model, which describes both geometric and photometric attributes of the 3-D objects of interest. The paper presents the basic principles and some preliminary results of our approach.