Using vector building maps to aid in generating seams for low-attitude aerial orthoimage mosaicking: Advantages in avoiding the crossing of buildings

文献类型： 外文期刊

第一作者： Wang, Dongliang

作者： Wang, Dongliang;Cao, Wei;Shao, Quanqin;Wang, Dongliang;Xin, Xiaoping;Brolly, Matthew;Xiao, Jianhua;Wan, Youchuan;Zhang, Yongjun

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关键词： Aerial image mosaicking;Vector building map;Seam detection

期刊名称：ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING （ 影响因子：8.979； 五年影响因子：9.948 ）

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收录情况： SCI

摘要： A novel seam detection approach based on vector building maps is presented for low-attitude aerial orthoimage mosaicking. The approach tracks the centerlines between vector buildings to generate the candidate seams that avoid crossing buildings existing in maps. The candidate seams are then refined by considering their surrounding pixels to minimize the visual transition between the images to be mosaicked. After the refinement of the candidate seams, the final seams further bypass most of the buildings that are not updated into vector maps. Finally, three groups of aerial imagery from different urban densities are employed to test the proposed approach. The experimental results illustrate the advantages of the proposed approach in avoiding the crossing of buildings. The computational efficiency of the proposed approach is also significantly higher than that of Dijkstra's algorithm. (C) 2017 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS). Published by Elsevier B.V. All rights reserved.

分类号： P2

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