Building Extraction from Satellite Images

Abstract

A method for detecting buildings from satellite/aerial images is proposed in this paper. The aim isto extract rectilinear buildings by using hypothesis. Hypothesis generation is accomplished by using edge detection and line generation methods. Hypothesis verification is carried out by using information obtained both from the color segmentation of HSV representation of the image. Satellite images is firstly filtered to sharpen the edges. The edges are extracted using Canny edge detection algorithm. These edges are the input for the Hough Transform stage which will produce line segments according to these extracted edges. Then, extracted line segments are used to generate building hypothesis. Verification of these hypotheses makes use of the outputs of the HSV color segmentation. In this study, color segmentation is processed on the HSV representation of the satellite/aerial images which are less sensitive to the illumination. Finally, Buildings are extracted from the urban areas.