ウェーブレット変換による画像分割とステレオマッチングを利用した航空写真からの建物の自動検出の試み

抄録

Automated house extraction from aerial photographs is one of the most critical steps in updating GIS databases or developing digital photogrammetric systems. In this paper, a method for extracting houses from the large-scale aerial imageries of urban areas mainly based upon both the region-based and line-based stereo matching schemes is proposed. Wavelet transform is utilized to detect edge features from images. Hough transform is employed to connect fragmentary line segments to improve reliablity in region/line-based stereo matching. Finally, houses/buildings are extracted by recognizing height difference between houses/buildings and terrain surface. The experimental results obtained with the method are demonstrated.