Urban building detection by visual and geometrical features

This paper describes an approach to detect the buildings in the urban environment. Visual and geometrical features of line segments are used to classify the building in the images. The buildings are also distinguished with other objects like sky, tree, bush and roads. Firstly, the line segments of building and non-building patterns are separated. The natural features are the contrast between two neighbored regions of segment, vanishing points, the appeared density, the vertical and horizontal alongside distributions. Those features are used to step-by-step reduce the segments of non-building pattern. The rests called the basic segments are grouped to create a mesh of skewed parallelograms. Each mesh represents a partial face of buildings. Finally, the faces or facets of building are detected by combining the neighbored partial faces. The building facet is refined again by its area. The proposed approach has been experimented for over 800 test images with the high rate of detection results.