Open Access
Issue |
MATEC Web Conf.
Volume 173, 2018
2018 International Conference on Smart Materials, Intelligent Manufacturing and Automation (SMIMA 2018)
|
|
---|---|---|
Article Number | 02022 | |
Number of page(s) | 5 | |
Section | Automation and Nontraditional Manufacturing | |
DOI | https://doi.org/10.1051/matecconf/201817302022 | |
Published online | 19 June 2018 |
- Li, D. and Li, M., Research advance and application prospect of unmanned aerial vehicle remote sensing system. Geomatics and Information Science of Wuhan University, 39, 5, 505-513(2014). [Google Scholar]
- Wang, K., Yiran, F.U., Peng, X., Zuo, Z., Lin, Y.I., and Huang, S., Overview of UAV Low Altitude Remote Sensing Technology and Application in Typical Industries. Bulletin of Surveying & Mapping. S1, 79-83(2017). [Google Scholar]
- Wang, P., CARRYING OUT FLYING QUALITY CHECKING USING DIRECTLY AIR PHOTO FILM. Wtusm Bulletin of Science & Technology. 03, 38-40+43(2001). [Google Scholar]
- Duan, F.-Z. and Zhao, W.-J., Method of aerial remotely sensing image quality evaluation based on image match. Science of Surveying and Mapping, 35,6, 57-8(2010). [Google Scholar]
- Wang Haitao, H.L., ZHANG Lulin, YU Xiaomin, Quality Inspection Technology for Low-altitude Digital Aerial Photography. Bulletin of Surveying & Mapping,8, 10-14,34(2016). [Google Scholar]
- Cheng, X., Overlapping degree analysis of images from an unmanned aerial vehicle based on a reduced scale-invariant feature transform (SIFT) algorithm. Journal of Harbin Engineering University,2, 018(2012). [Google Scholar]
- Chen, J., Yang, D., Lei, D.U., Jing, L.I., and HAN, Y., Method for inspection of frame digital aerial photographic quality. Remote Sensing for Land & Resources,26,4, 91-96(2014). [Google Scholar]
- Haolin, L., Chong, L., Ruijin, H., and AL, E., An Overlap Check Method for A3 Digital Aerial Camera. Remote Sensing Information, 30, 06, 58-62(2015). [Google Scholar]
- Lowe, D.G., Distinctive Image Features from Scale-Invariant Key points. International Journal of Computer Vision, 60, 2, 91-110(2004). [Google Scholar]
- Fischler, M.A., Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Readings in Computer Vision, 24, 6, 726-740(1987). [Google Scholar]
- Ueshiba, T. and TOMITA, F., Plane-based Calibration Algorithm for Multi-camera Systems via Factorization of Homography Matrices. In Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2 IEEE Computer Society, 966(2003). [CrossRef] [Google Scholar]
- Bay, H., Tuytelaars, T., and GOOL, L.V., 2006. SURF: Speeded Up Robust Features. Computer Vision & Image Understanding,110, 3, 404-417(2006). [Google Scholar]
- Rublee, E., Rabaud, V., Konolige, K., and Bradski, G., ORB: An efficient alternative to SIFT or SURF. IEEE International Conference on Computer Vision IEEE,58, 11, 2564-2571(2012). [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.