7-days of FREE Audio papers, translation & more with Prime
7-days of FREE Prime access
7-days of FREE Audio papers, translation & more with Prime
7-days of FREE Prime access
https://doi.org/10.4028/www.scientific.net/amm.525.752
Copy DOIJournal: Applied Mechanics and Materials | Publication Date: Feb 1, 2014 |
It is hard to keep vertical photography for Unmanned Aerial Vehicles (UAV) and there is large deflection and rotation in the UAV image, which lead to accuracy of point cloud data produced by UAV image is not high. In this paper an algorithm on UAV point cloud optimization based on Patch-based Least Squares Image Matching is proposed. By optimizing the point cloud data with Patch-based Least Squares Image Matching, and test data with images in campus of Northwestern University. The experimental results show that UAV point cloud optimization based on Patch-based Least Squares Image Matching can conspicuously improve the accuracy of the UAV image matching.
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.