HIERARCHICAL REPETITION EXTRACTION FOR BUILDING FAÇADE RECONSTRUCTION FROM OBLIQUE AERIAL IMAGES

• Main Authors: J. Zhang, H. Yao, W. Jiang, X. Shen
• Format: Article
• Language: English
• Published: Copernicus Publications 2015-05-01
• Series: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
• Online Access: http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-4-W5/183/2015/isprsarchives-XL-4-W5-183-2015.pdf

In this paper we introduce an approach for automatic recognition and reconstruction of building facade structure from oblique aerial images. Contrast to street-view image oblique aerial image has larger field of view but lower resolution, weaker texture and more noise. To overcome these shortcomings, our approach firstly analyses the horizontal distribution density to extract individual facade area from image. Then a hierarchical repetition detection method is employed to partition the facade and recognize structural elements. Finally, the geometry structure of each facade element is reconstructed jointly by all repetitive image tiles. Results show the potentials of the proposed approach.