Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3/W2, 289-294, 2015
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-3-W2/289/2015/
doi:10.5194/isprsarchives-XL-3-W2-289-2015
© Author(s) 2015. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
10 Mar 2015
ADAPTIVE HIERARCHICAL DENSE MATCHING OF MULTI-VIEW AIRBORNE OBLIQUE IMAGERY
Z. C. Zhang, C. G. Dai, S. Ji, and M. Y. Zhao Dept. of Photogrammetry and Remote Sensing, Zhengzhou Institute of Surveying and Mapping, Zhengzhou, China
Keywords: Multi-view Oblique Imagery, Dense Matching, Image Pyramid, Matching Constraint, Delaunay Triangulation Abstract. Traditional single-lens vertical photogrammetry can obtain object images from the air with rare lateral information of tall buildings. Multi-view airborne photogrammetry can get rich lateral texture of buildings, while the common area-based matching for oblique images may lose efficacy because of serious geometric distortion. A hierarchical dense matching algorithm is put forward here to match two oblique airborne images of different perspectives. Based on image hierarchical strategy and matching constraints, this algorithm delivers matching results from the upper layer of the pyramid to the below and implements per-pixel dense matching in the local Delaunay triangles between the original images. Experimental results show that the algorithm can effectively overcome the geometric distortion between different perspectives and achieve pixel-level dense matching entirely based on the image space.
Conference paper (PDF, 1129 KB)


Citation: Zhang, Z. C., Dai, C. G., Ji, S., and Zhao, M. Y.: ADAPTIVE HIERARCHICAL DENSE MATCHING OF MULTI-VIEW AIRBORNE OBLIQUE IMAGERY, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3/W2, 289-294, doi:10.5194/isprsarchives-XL-3-W2-289-2015, 2015.

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