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Proceedings Paper

Real-time matching algorithm of navigation image based on corner detection
Author(s): Tao Zhang; Li-mei Yang
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Paper Abstract

In order to meet requirement of real-time and high accuracy in image matching aided navigation, a fast and effective algorithm of remote sensing image matching based on corner detection is put forward. With the combination of rough and fine match, wavelet transform is used to acquire low frequency component to realize image compression to decrease calculation work and increase matching speed. Harris corner detection algorithm is used to detect corner of remote sensing image and template image and energy of every corner is calculated; SSDA algorithm is used to match remote sensing image and template image coarsely, when the matching result is bigger than one to count absolute value sum of energy difference of characteristic point energy to realize fine match of remote sensing image and template image to locate the position of template image in remote sensing image accurately. Simulation experiment proves that the matching of a remote sensing image resolution of 1018*1530 and a template image resolution of 150*90 can be fulfilled within 2.392 second, the algorithm is robust and effective, real time image navigation can be achieved.

Paper Details

Date Published: 6 August 2009
PDF: 8 pages
Proc. SPIE 7384, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Imaging Detectors and Applications, 73842M (6 August 2009); doi: 10.1117/12.836516
Show Author Affiliations
Tao Zhang, Changchun Institute of Optics, Fine Mechanics and Physics (China)
Graduate School of the Chinese Academy of Sciences (China)
Li-mei Yang, Changchun Univ. of Technology College of Mechanical and Electrical Engineering (China)
Changchun Institute of Optics, Fine Mechanics and Physics (China)


Published in SPIE Proceedings Vol. 7384:
International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Imaging Detectors and Applications
Kun Zhang; Xiang-jun Wang; Guang-jun Zhang; Ke-cong Ai, Editor(s)

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