Volume 44 Issue 8
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JIANG San, XU Zhihai, ZHANG Feng, LIAO Ruchao, JIANG Wanshou. Solution for Efficient SfM Reconstruction of Oblique UAV Images[J]. Geomatics and Information Science of Wuhan University, 2019, 44(8): 1153-1161. DOI: 10.13203/j.whugis20180030
Citation: JIANG San, XU Zhihai, ZHANG Feng, LIAO Ruchao, JIANG Wanshou. Solution for Efficient SfM Reconstruction of Oblique UAV Images[J]. Geomatics and Information Science of Wuhan University, 2019, 44(8): 1153-1161. DOI: 10.13203/j.whugis20180030
shu

Solution for Efficient SfM Reconstruction of Oblique UAV Images

  • 1.

    School of Computer Science, China University of Geosciences, Wuhan 430074, China

  • 2.

    Patrol Operation Center of Guangdong Power Grid Co Ltd, Guangzhou 510030, China

  • 3.

    State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China

Funds: 

Key Technology Program of China South Power Grid GDKJQQ20161187

More Information
  • Author Bio:

    JIANG San, PhD, associate professor, specializes in image matching and aerial triangulation. E-mail:jiangsan@cug.edu.cn

  • Corresponding author:

    JIANG Wanshou, PhD, professor. E-mail: jws@whu.edu.cn

  • Received Date: May 25, 2018
  • Published Date: August 04, 2019
    Graphical Abstract
    • Abstract
  • For the low sparse reconstruction efficiency caused by high resolutions and large volumes of UAV (unmanned aerial vehicle) images, this paper proposes an algorithm for decreasing the number of image pairs and improving the efficiency of outlier removal. Firstly, rough POS (positioning and orientation system) is calculated for each image with the use of GNSS/IMU (Global Navigation Satellite System/inertial measurement unit) data and camera installation angles. Secondly, to reduce image combination complexity, topological connection analysis is used for image pairs selection. Considering high outlier ratios of initial matches, the hierarchical motion consistency constraint (HMCC) is designed to achieve the high efficiency of geometrical verification strategies. The proposed solutions are verified by using four datasets captured with different oblique systems. Results demonstrate that without accuracy sacrifices, the proposed solutions can achieve efficient and reliable reconstruction.
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    • References (18)
  • [1]
    李德仁, 李明.无人机遥感系统的研究进展与应用前景[J].武汉大学学报·信息科学版, 2014, 39(5):505-513 http://ch.whu.edu.cn/CN/abstract/abstract2977.shtml

    Li Deren, Li Ming. Research Advance and Application Prospect of Unmanned Aerial Vehicle Remote Sensing System[J]. Geomatics and Information Science of Wuhan University, 2014, 39(5):505-513 http://ch.whu.edu.cn/CN/abstract/abstract2977.shtml
    [2]
    李鹏飞, 孙开敏, 李德仁, 等.无人机影像应急并行处理负载均衡方法[J].武汉大学学报·信息科学版, 2018, 43(2):268-274 http://ch.whu.edu.cn/CN/abstract/abstract5979.shtml

    Li Pengfei, Sun Kaimin, Li Deren, et al. A Load Balancing Strategy for Urgent Parallel Processing of UAV Imagery[J]. Geomatics and Information Science of Wuhan University, 2018, 43(2):268-274 http://ch.whu.edu.cn/CN/abstract/abstract5979.shtml
    [3]
    Snavely N, Seitz S M, Szeliski R. Photo Tourism:Exploring Photo Collections in 3D[J]. ACM Transactions on Graphics, 2006, 25(3):835-846 doi: 10.1145/1141911.1141964
    [4]
    Hu H, Zhu Q, Du Z, et al. Reliable Spatial Relationship Constrained Feature Point Matching of Oblique Aerial Images[J]. Photogrammetric Engineering and Remote Sensing, 2015, 81(1):49-58 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=370e024fad8b9b365d3c369e6b4dc8d2
    [5]
    Lu L, Zang Y, Tao P. Geometrical Consistency Voting Strategy for Outlier Detection in Image Matching[J]. Photogrammetric Engineering and Remote Sensing, 2016, 82(7):559-570 doi: 10.14358/PERS.82.7.559
    [6]
    Rupnik E, Nex F, Remondino F. Automatic Orientation of Large Blocks of Oblique Images[C]. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Hannover, Germany, 2013
    [7]
    Xu Z, Wu L, Gerke M, et al. Skeletal Camera Network Embedded Structure-from-Motion for 3D Scene Reconstruction from UAV Images[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2016, 121:113-127 doi: 10.1016/j.isprsjprs.2016.08.013
    [8]
    Chum O, Matas J. Optimal Randomized RANSAC[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2008, 30(8):1472-1482 doi: 10.1109/TPAMI.2007.70787
    [9]
    Li X, Larson M, Hanjalic A. Pairwise Geometric Matching for Large-Scale Object Retrieval[C]. IEEE Conference on Computer Vision and Pattern Recognition, Boston, USA, 2015
    [10]
    Schönberger J L, Price T, Sattler T, et al. A Voteand-Verify Strategy for Fast Spatial Verification in Image Retrieval[C]. Asian Conference on Computer Vision, Taipei, China, 2016
    [11]
    Sattler T, Leibe B, Kobbelt L. SCRAMSAC: Improving RANSAC's Efficiency with a Spatial Consistency Filter[C]. International Conference on Computer Vision, Kyoto, Japan, 2010
    [12]
    Jiang S, Jiang W. On-Board GNSS/IMU Assisted Feature Extraction and Matching for Oblique UAV Images[J]. Remote Sensing, 2017, 9(8):813-833 doi: 10.3390/rs9080813
    [13]
    Graham R L, Heill P. On the History of the Minimum Spanning Tree Problem[J]. Annals of the History of Computing, 1985, 7(1):43-57 doi: 10.1109-MAHC.1985.10011/
    [14]
    Kruskal J B. On the Shortest Spanning Subtree of a Graph and the Traveling Salesman Problem[J]. Proceedings of the American Mathematical Society, 1956, 7(1):48-50 doi: 10.1090/S0002-9939-1956-0078686-7
    [15]
    Wu C. SiftGPU: A GPU Implementation of Scale Invariant Feature Transform(SIFT)[OL]. https://github.com/pitzer/SiftGPU, 2017
    [16]
    Sun Y, Zhao L, Huang S, et al. L2-SIFT:SIFT Feature Extraction and Matching for Large Images in Large-Scale Aerial Photogrammetry[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2014, 91:1-16 doi: 10.1016/j.isprsjprs.2014.02.001
    [17]
    Sameer A, Keir M. Ceres Solver[OL]. http://ceres-solver.org, 2018
    [18]
    Chum O, Matas J, Kittler J. Locally Optimized RANSAC[C]. Pattern Recognition, the 25th DAGM Symposium, Magdeburg, Germany, 2003
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