House detection in IKONOS data using region- and edge-based segmentation

The subject of this paper is the extraction of houses in very high resolution satellite data. For this purpose, existing segmentation techniques are analyzed as a tool for house detection in IKONOS data. Additionally, a new combination of region and edge based segmentation as well as classification techniques is presented that uses an optimum of the inherent information of the given image data to achieve best possible detection results. Besides spectral and gray value features of the multispectral and panchromatic bands, context and shape information is extracted and incorporated within the classification process.