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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：期刊论文

作者Wang, Dongliang4,5; Cao, Wei4; Xin, Xiaoping5; Shao, Quanqin4; Brolly, Matthew1; Xiao, Jianhua2; Wan, Youchuan3; Zhang, Yongjun3
刊名ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
出版日期2017-03-01
卷号125页码:207-224
关键词Aerial image mosaicking Vector building map Seam detection
ISSN号0924-2716
DOI10.1016/j.isprsjprs.2017.01.015
通讯作者Cao, Wei(caowei@igsnrr.ac.cn) ; Xin, Xiaoping(xinxiaoping@caas.cn) ; Shao, Quanqin(shaoqq@igsnrr.ac.cn)
英文摘要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.
WOS关键词SEAMLINE DETERMINATION ; IMAGE MOSAICKING ; SEGMENTATION ; REFINEMENT
资助项目National Natural Science Foundation of China[41501416] ; China Agriculture Research System[CARS-35] ; National Key Technology R&D Program of China[2013BACO3B00] ; open foundation of the Key Laboratory of Precise Engineering & Industry Surveying of the National Administration of Surveying, Mapping Geoinformation[PF2015-17] ; open foundation of the Key Laboratory of Precise Engineering & Industry Surveying of the National Administration of Surveying, Mapping Geoinformation[F2013-14]
WOS研究方向Physical Geography ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000397354800015
出版者ELSEVIER SCIENCE BV
资助机构National Natural Science Foundation of China ; China Agriculture Research System ; National Key Technology R&D Program of China ; open foundation of the Key Laboratory of Precise Engineering & Industry Surveying of the National Administration of Surveying, Mapping Geoinformation
源URL[http://ir.igsnrr.ac.cn/handle/311030/64687]  
专题中国科学院地理科学与资源研究所
通讯作者Cao, Wei; Xin, Xiaoping; Shao, Quanqin
作者单位1.Univ Brighton, Sch Environm & Technol, Brighton BN2 4GJ, E Sussex, England
2.Wuhan Surveying & Mapping Inst, Wuhan 430022, Peoples R China
3.Wuhan Univ, Sch Remote Sensing & Informat Engn, Wuhan 430079, Peoples R China
4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China
5.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Natl Hulunber Grassland Ecosyst Observat & Res St, Beijing 100081, Peoples R China
推荐引用方式
GB/T 7714		 Wang, Dongliang,Cao, Wei,Xin, Xiaoping,et al. Using vector building maps to aid in generating seams for low-attitude aerial orthoimage mosaicking: Advantages in avoiding the crossing of buildings[J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,2017,125:207-224.
APA Wang, Dongliang.,Cao, Wei.,Xin, Xiaoping.,Shao, Quanqin.,Brolly, Matthew.,...&Zhang, Yongjun.(2017).Using vector building maps to aid in generating seams for low-attitude aerial orthoimage mosaicking: Advantages in avoiding the crossing of buildings.ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,125,207-224.
MLA Wang, Dongliang,et al."Using vector building maps to aid in generating seams for low-attitude aerial orthoimage mosaicking: Advantages in avoiding the crossing of buildings".ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING 125(2017):207-224.

入库方式： OAI收割

来源：地理科学与资源研究所

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