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Remote Sensing Letters Volume 9, 2018 - Issue 8
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Original Articles

Bundle adjustment method using sparse BFGS solution

Yanyan LiDepartment of Island and Management, National Marine Data and Information Service, Tianjin, China;School of Software and Microelectronics, Peking University, Beijing, ChinaView further author information
,
Shiyue FanDepartment of Island and Management, National Marine Data and Information Service, Tianjin, ChinaView further author information
,
Yanbiao SunState Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin, China;Guangxi Colleges and Universities Key Laboratory of Unmanned Aerial Vehicle (UAV) Telemetry, Guilin University of Aerospace Technology, Guilin, ChinaCorrespondence[email protected]
ORCID Iconhttp://orcid.org/0000-0002-1385-8810View further author information
ORCID Icon,
Qiang WangSchool of Software and Microelectronics, Peking University, Beijing, ChinaORCID Iconhttp://orcid.org/0000-0002-9450-2030View further author information
ORCID Icon &
Shanlin SunGuangxi Colleges and Universities Key Laboratory of Unmanned Aerial Vehicle (UAV) Telemetry, Guilin University of Aerospace Technology, Guilin, ChinaORCID Iconhttp://orcid.org/0000-0002-1385-8810View further author information
ORCID Icon
Pages 789-798 | Received 17 Jan 2018, Accepted 16 May 2018, Published online: 30 May 2018

References

  • Agarwal, S., and K. Mierle, and Others. 2010. “Ceres Solver.” http://ceres-solver.org.
  • Agarwal, S., N. Snavely, S. M. Seitz, and R. Szeliski. 2010. “Bundle Adjustment in the Large.” European Conference on Computer Vision 29–42.
  • Byrod, M., and K. Astrom. 2010. “Conjugate Gradient Bundle Adjustment.” European Conference on Computer Vision 6312: 114–127.
  • Hu, K., X. Zhang, J. Shi, and S. Wei. 2017. “Image Reconstruction Method for Stepped-Frequency Multichannel Bistatic SAR.” Remote Sensing Letters 8 (1): 48–57. doi:10.1080/2150704X.2016.1234727.
  • Le, Q. V., J. Ngiam, A. Coates, A. Lahiri, B. Prochnow, and A. Y. Ng. 2011. “On Optimization Methods for Deep Learning.” International Conference on Machine Learning, ICML, Washington, USA 265–272.
  • Li, B., T. Zhang, and T. Xia. 2016. “Vehicle Detection from 3D Lidar Using Fully Convolutional Network.” In Proceedings of Robotics: Science and Systems 12.
  • Li, D., and M. Fukushima. 2001. “A Modified BFGS Method and Its Global Convergence in Nonconvex Minimization.” Journal of Computational and Applied Mathematics 129 (1): 15–35. doi:10.1016/S0377-0427(00)00540-9.
  • Liu, D. C., and N. Jorge. 1989. “On the Limited Memory BFGS Method for Large Scale Optimization.” Mathematical Programming 45 (3): 503–528. doi:10.1007/BF01589116.
  • Lourakis, M. I. A., and A. A. Argyros. 2005. “Is Levenberg-Marquardt the Most Efficient Optimization Algorithm for Implementing Bundle Adjustment.” Tenth IEEE International Conference on Computer Vision 1526–1531.
  • Lourakis, M. I. A., and A. A. Argyros. 2009. “SBA: A Software Package for Generic Sparse Bundle Adjustment.” ACM Transactions on Mathematical Software 36 (1): 2. doi:10.1145/1486525.1486527.
  • Madsen, K., O. Tingleff, and H. B. Nielsen. 2004. Methods for Non-Linear Least Squares Problems. Lyngby: Technical University of Denmark, Lecture note.
  • Sun, Y., L. Zhao, S. Huang, L. Yan, and G. Dissanayake. 2014. “L2-SIFT: SIFT Feature Extraction and Matching for Large Images in Large-Scale Aerial Photogrammetry.” ISPRS Journal of Photogrammetry and Remote Sensing 91: 1–16. doi:10.1016/j.isprsjprs.2014.02.001.
  • Yan, L., R. Chen, H. Sun, Y. Sun, L. Liu, and Q. Wang. 2017. “A Novel Bundle Adjustment Method with Additional Ground Control Point Constraint.” Remote Sensing Letters 8 (1): 68–77. doi:10.1080/2150704X.2016.1235809.
  • Zhao, L., S. Huang, Y. Sun, L. Yan, and G. Dissanayake. 2015. “ParallaxBA: Bundle Adjustment Using Parallax Angle Feature Parametrization.” The International Journal of Robotics Research 34: 493–516. doi:10.1177/0278364914551583.
  • Zhou, W., and X. Chen. 2010. “Global Convergence of a New Hybrid Gauss-Newton Structured BFGS Method for Nonlinear Least Squares Problems.” Siam Journal on Optimization 20 (5): 2422–2441. doi:10.1137/090748470.

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