Residential Areas Detection on Panchromatic Remote Sensing Images Based on Nave Bayesian Networks

The method is proposed to extract the residential areas on panchromatic remote sensing images based on Na ve Bayesian network.In this procedure,the conditional probabilities and prior probabilities are obtained from learning the positive and negative samples.On the basic,unknown regions that have not the category information will be classified into residential areas and non-residential areas by learning probability network.Experimental results of extracted residential areas on the images of SPOT5 are presented to illustrate the merit and feasibility.