UNIFIED TEMPLATE OF GEOREFFERENCED IMAGES FOR VISUAL CORRELATIONEXTREME NAVIGATION SYSTEM

Authors

  • Maryna Mukhina National Aviation University,, Kyiv, Ukraine

DOI:

https://doi.org/10.18372/2306-1472.65.9819

Keywords:

correlation-extreme navigation, feature point, georeferencing, image recognition, reliability (weight) factor, Speed-Up Robust Feature

Abstract

The article considers existing methods of image feature detection. Descriptive representation of unified template is proposed based on Speed-Up Robust Feature (SURF) method. The requirements and structure of database of unified template are developed including the reliability factor of each image feature. Experiments evidences the decreasing of memory volume for database and of computational time of recognition.

Author Biography

Maryna Mukhina, National Aviation University,, Kyiv, Ukraine

Maryna Mukhina (1979). PhD, Associate Professor.
Post Doctoral, National Aviation University, Kyiv, Ukraine.
Department of Aviation Computer-Integrated Complexes, National Aviation University, Kyiv, Ukraine
Education: BSc, MSc (1996-2002) in Electrical Engineering, National Aviation University.
Research area: correlation-extreme navigation systems, data fusion algorithms.

References

M.P. Mukhina, I.V. Seden Analysis of modern correlation extreme navigation systems // Electronics and Control Systems, №1 (39), 2014. – p. 95 - 101.

G. Conte and P. Doherty An integrated UAV navigation system based on aerial image matching. In IEEE Aerospace Conference, Big Sky, Montana, March 2008.

Dong-Gyu Sim, Rae-Hong Park, Rin-Chul Kim, Sang Uk Lee, Ihn-Cheol Kim Integrated Position Estimation Using Aerial Image Sequences // IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24, No. 1, January 2002. – P. 1-18.

H. Bay, T. Tuytelaars, L. Van Gool. SURF: Speeded up robust features. European Conference on Computer Vision, Vol. 1, pp.404-417, 2006.

Correlation-extreme methods of navigation and of guidance / V.K. Baklitskiy. - Tver'.: TO "Knizhnyi klub", 2009. - 360 p. (In Russian).

Veremeenko K.K. et al. Modern information technologies in the problems of navigation and guidance of unmanned maneuvering aerial vehicles / Edited by M.N. Krasilshchikov, G.G. Serebriakov. - M.: FISMATLIT. - 2009. - p. 556. (In Russian).

V. Kharchenko, M. Mukhina Correlationextreme visual navigation of unmanned aircraft systems based on speed-up robust features // Aviation. No 2, volume 18, 2014.

Code of SURF listing in MATLAB. Available from Internet: http://www.mathworks.com/matlabcentral/fileexchange/28300-opensurfincluding-image-warp

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Published

01-02-2016

How to Cite

Mukhina, M. (2016). UNIFIED TEMPLATE OF GEOREFFERENCED IMAGES FOR VISUAL CORRELATIONEXTREME NAVIGATION SYSTEM. Proceedings of National Aviation University, 65(4), 42–48. https://doi.org/10.18372/2306-1472.65.9819

Issue

Vol. 65 No. 4 (2015)

Section

AEROSPACE SYSTEMS FOR MONITORING AND CONTROL

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