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Proceedings Paper

An automatic registration method for different temporal remote sensing images based on improved Fourier-Mellin algorithm
Author(s): Rui Li; Jiulin Sun; Fang Yin; Fusheng Guo; Wantong Wang
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Paper Abstract

Multi-temporal remote sensing image registration is the key step of change detection, and because of the remarkable difference and the probably unknown of sensor parameters, the automatic registration of different temporal remote sensing images is very difficult. Image registration based on Fourier-Mellin transform(FMT) is a global and phase correlation method, which is based on Fourier and Log-polar transform. This method finds the transformation parameters for registration of the images while working in the frequency-domain and it is resilient to noise, occlusions and so on. In this paper, an improved approach based on Fourier-Mellin algorithm is proposed for the registration. Spectrum aliasing and resampling interpolation will bring errors during Fourier-Mellin transform. To get a better registration result, we have improved it by adding window function and filtering to reduce spectrum aliasing and increase the robustness.

Paper Details

Date Published: 2 April 2010
PDF: 8 pages
Proc. SPIE 7651, International Conference on Space Information Technology 2009, 76510H (2 April 2010); doi: 10.1117/12.855154
Show Author Affiliations
Rui Li, Henan Univ. (China)
Institute of Geographical Sciences and Natural Resources Research (China)
Jiulin Sun, Institute of Geographical Sciences and Natural Resources Research (China)
Fang Yin, Institute of Geographical Sciences and Natural Resources Research (China)
Fusheng Guo, Institute of Automation (China)
Wantong Wang, Henan Univ. (China)
Institute of Geographical Sciences and Natural Resources Research (China)


Published in SPIE Proceedings Vol. 7651:
International Conference on Space Information Technology 2009
Xingrui Ma; Baohua Yang; Ming Li, Editor(s)

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