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This article is cited in 1 scientific paper (total in 1 paper)
Computer Science, Engineering and Control
Techniques of feature points matching in the problem of UAV's visual navigation
D. N. Stepanov Aylamazyan Program Systems Institute of the Russian Academy of the Russian Academy of Sciences (Pereslavl-Zalessky, Russia)
Abstract:
The paper is devoted to development and experimental comparison of techniques feature points matching on the images - images of the earth's surface with cameras mounted on unmanned aerial vehicles (UAVs) and artificial earth satellite. The main feature of the problem is that one of the images (satellite image) is divided into fragments. The developed techniques are part of a complex of algorithms for determining the position and orientation of the UAV using the methods and algorithms of machine vision. A description of the flight simulation technology and solving positioning tasks are described. Feature points on the image are extracted using an SURF algorithm. Also the approach to matching based on the partition of feature points' set into two subsets depending on the sign of the Laplacian are stidied. Methods of increasing the performance of matching points are offered.
Keywords:
UAV, feature points, SURF, computer vision, satellite images, brute-force, search index, image matching.
Received: 08.07.2015
Citation:
D. N. Stepanov, “Techniques of feature points matching in the problem of UAV's visual navigation”, Vestn. YuUrGU. Ser. Vych. Matem. Inform., 4:4 (2015), 32–47
Linking options:
https://www.mathnet.ru/eng/vyurv63 https://www.mathnet.ru/eng/vyurv/v4/i4/p32
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Abstract page: | 276 | Full-text PDF : | 164 | References: | 47 |
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