Proceedings of the 2015 International Industrial Informatics and Computer Engineering Conference

The research on the UAV positioning method using the POS and improved image matching

Authors
Yan Zhang, Panpan Jiang, Jianzeng Li, Deliang Li, Pengjun Li, Yulong Du
Corresponding Author
Yan Zhang
Available Online March 2015.
DOI
10.2991/iiicec-15.2015.250How to use a DOI?
Keywords
Image Registration; UAV; Target location; POS; Optical flow
Abstract

Aiming at the problem of low accuracy of the target for one UAV(Unmanned Aerial Vehicle), according to the UAV’s characteristics of UAV aerial images, POS dates and satellite digital map, a UAV image matching and targeting method is presented based on POS. At first, using the Gaussian pyramid optical flow method, the UAV aerials or video frames are real-time stitched. Then, taking advantage of POS date, the approximate area of the entire aerials or video frames on the satellite digital map are determined based on the formulated search strategy. Finally, making use of the improved SIFT algorithm, the aerial photos(video frames) and satellite digital map in this range are matched to complete the targeting. The results proved that this method can achieve a wide range of real-time two-dimensional positioning without ground control points, while the precision and speed has large improvement, which is an effective method for target location utilizing image matching.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 International Industrial Informatics and Computer Engineering Conference
Series
Advances in Computer Science Research
Publication Date
March 2015
ISBN
978-94-62520-54-7
ISSN
2352-538X
DOI
10.2991/iiicec-15.2015.250How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yan Zhang
AU  - Panpan Jiang
AU  - Jianzeng Li
AU  - Deliang Li
AU  - Pengjun Li
AU  - Yulong Du
PY  - 2015/03
DA  - 2015/03
TI  - The research on the UAV positioning method using the POS and improved image matching
BT  - Proceedings of the 2015 International Industrial Informatics and Computer Engineering Conference
PB  - Atlantis Press
SP  - 1127
EP  - 1131
SN  - 2352-538X
UR  - https://doi.org/10.2991/iiicec-15.2015.250
DO  - 10.2991/iiicec-15.2015.250
ID  - Zhang2015/03
ER  -