In this study, we present a road detection method. Proposed method consists of two phases. In the first phase, a binary image is obtained by utilizing greyscale transformation and thresholding processes. In the second phase, K-Nearest Neighbours and Naive Bayes classifiers are applied on image by utilizing colour features. Road and non-road regions are determined and these two classifiers are compared with each other. Google Maps satellite images are used since they are easily accessible on the Internet. C# based software is developed for realizing and testing the methods mentioned above.