Acta Optica Sinica, Volume. 41, Issue 14, 1415001(2021)
Oblique Image Orientation Method Based on Local-to-Global Optimization Strategy
Fig. 1. Working principle of five camera oblique photography device. (a) Five images captured in 3D object space; (b) plane-directional distribution of five images captured on an exposure station
Fig. 2. There is a large overlap between the images on five different exposure stations. (a) Plane-directional distribution of the five exposure stations; (b) an example of local map from ISRPS EuroSDR dataset
Fig. 4. Combining all local maps into a global map by a least-square optimization
Fig. 7. Change of MSE with the number of iterations. (a) MSE of the BA method; (b) MSE of the LGO method
Fig. 10. Trajectories for the Zurich data. (a) Trajectory of only nadir images; (b) Trajectory of both nadir and side images
Fig. 11. Change of MSE with the number of iterations on the Zurich dataset. (a) BA method; (b) LGO method
Fig. 12. Residual of 135 Zurich images estimated by the BA and LGO methods. (a) X direction; (b) Y direction; (c) Z direction; (d) 3D
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Peigen Ye, Ze Yang, Yanbiao Sun, Jigui Zhu. Oblique Image Orientation Method Based on Local-to-Global Optimization Strategy[J]. Acta Optica Sinica, 2021, 41(14): 1415001
Category: Machine Vision
Received: Nov. 13, 2020
Accepted: Feb. 5, 2021
Published Online: Jul. 11, 2021
The Author Email: Yanbiao Sun (yanbiao.sun@tju.edu.cn)