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Proceedings Paper

Two-dimensional motion estimation algorithm based on correlation speed measurement for satellite remote sensing images
Author(s): Lin Hu; Qing-hui Li; Cheng-kang Yao
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Paper Abstract

To carry out sophisticated image motion compensation, the real-time computing problems of two-dimensional highprecision motion speed must be solved. The computation is even greater in the processing of large-size satellite remote sensing images. In order to find out the motion speed of the satellite more accurately and rapidly, a motion estimation algorithm is present in this paper. The entire pixel motion estimation is completed by line matching method accurately in the first step. In the following step, a surface fitting method is utilized to obtain the high-precision sub-pixel displacements. As the time intervals between the two or more images which are taken by the satellite detectors are known, the real-time motion speed of the satellite could be easily gotten in the end. There are two major contributions in the paper. Firstly, the line template and line matching are summed up. Therefore, the computations and searches in correlation matching processing could be reduced greatly while the efficiency is improved. Secondly, by the reasonable use of the mathematical surface fitting method, high-precision sub-pixel displacements of images could be obtained successfully. Theory analysis and experiments show that the method is reasonable and efficient.

Paper Details

Date Published: 5 August 2009
PDF: 6 pages
Proc. SPIE 7383, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications, 73833D (5 August 2009); doi: 10.1117/12.834571
Show Author Affiliations
Lin Hu, Xidian Univ. (China)
Qing-hui Li, Xidian Univ. (China)
Cheng-kang Yao, Xidian Univ. (China)


Published in SPIE Proceedings Vol. 7383:
International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications

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