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Article

Efficient SfM for Oblique UAV Images: From Match Pair Selection to Geometrical Verification

by 1,2 and 2,3,*
1
School of Computer Science, China University of Geosciences, Wuhan 430074, China
2
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430072, China
3
Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan 430072, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2018, 10(8), 1246; https://doi.org/10.3390/rs10081246
Received: 16 July 2018 / Revised: 3 August 2018 / Accepted: 6 August 2018 / Published: 8 August 2018
Accurate orientation is required for the applications of UAV (Unmanned Aerial Vehicle) images. In this study, an integrated Structure from Motion (SfM) solution is proposed, which aims to address three issues to ensure the efficient and reliable orientation of oblique UAV images, including match pair selection for large-volume images with large overlap degree, reliable feature matching of images captured from varying directions, and efficient geometrical verification of initial matches. By using four datasets captured with different oblique imaging systems, the proposed SfM solution is comprehensively compared and analyzed. The results demonstrate that linear computational costs can be achieved in feature extraction and matching; although high decrease ratios occur in image pairs, reliable orientation results are still obtained from both the relative and absolute bundle adjustment (BA) tests when compared with other software packages. For the orientation of oblique UAV images, the proposed method can be an efficient and reliable solution. View Full-Text
Keywords: unmanned aerial vehicle; oblique photogrammetry; structure-from-motion; maximal spanning tree; tiling strategy; hierarchical motion consistency constraint unmanned aerial vehicle; oblique photogrammetry; structure-from-motion; maximal spanning tree; tiling strategy; hierarchical motion consistency constraint
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MDPI and ACS Style

Jiang, S.; Jiang, W. Efficient SfM for Oblique UAV Images: From Match Pair Selection to Geometrical Verification. Remote Sens. 2018, 10, 1246. https://doi.org/10.3390/rs10081246

AMA Style

Jiang S, Jiang W. Efficient SfM for Oblique UAV Images: From Match Pair Selection to Geometrical Verification. Remote Sensing. 2018; 10(8):1246. https://doi.org/10.3390/rs10081246

Chicago/Turabian Style

Jiang, San, and Wanshou Jiang. 2018. "Efficient SfM for Oblique UAV Images: From Match Pair Selection to Geometrical Verification" Remote Sensing 10, no. 8: 1246. https://doi.org/10.3390/rs10081246

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