Change Detectıon of Buildings from High Resolution Satellite Imagery and Existing Map Data Using Object Based Classification

Abstract

The automatic and accurate detection of buildings and the changes of buildings in urban environment is important for the efficient updating of geographic databases, decision makers, urban planning and management. In this study, building changes in a selected urban area in the Altındağ district of Ankara, Turkey were detected from a high resolution satellite imagery by using image to map comparison change detection technique. The data used include the WorldView2 satellite image acquired in 2010, the vector map data compiled in 2001, and DSM data generated from stereo aerial photographs taken in 2013.The method used in the study consists of four main steps. In the first step, a multiresolution image segmentation was carried out using the multispectral image bands and DSM data in eCognition software. In the segmentation process, the parameters scale, shape, compactness and layer weight were used.