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Proceedings Paper

Geo-registration of aerial images by feature matching
Author(s): Zheng Wu; Hui Qian; Miaoliang Zhu
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Paper Abstract

In this paper, we propose a new featured-based geo-registration technique for aerial images that helps nearly real-timely calibrate and update the telemetry data and sensor model on flight. Firstly by using the available telemetry information, we bring both images into a common projection space. Second, we use the distribution of local geometric properties to guess the initial rotation and translation parameters. After the coarse alignment, the Harris operator is adopted to produce the initial feature points set, while the corresponding feature points set in the target image can be established through normalized correlation in local neighborhood of the selected points' position. Finally after the matched feature point sets are well constructed, the transform parameters can be solved by least square error estimation. The experiment shows our algorithm can effectively reduce the error in telemetry data caused by various noises.

Paper Details

Date Published: 19 January 2006
PDF: 8 pages
Proc. SPIE 6077, Visual Communications and Image Processing 2006, 60771S (19 January 2006); doi: 10.1117/12.642844
Show Author Affiliations
Zheng Wu, Zhe Jiang Univ. (China)
Hui Qian, Zhe Jiang Univ. (China)
Miaoliang Zhu, Zhe Jiang Univ. (China)


Published in SPIE Proceedings Vol. 6077:
Visual Communications and Image Processing 2006
John G. Apostolopoulos; Amir Said, Editor(s)

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