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| A Remote Sensing Images Matching Method Based on Zernike Moments and Steady Genetic Algorithms |
| Xu Jian-bin; Hong Wen; Wu Yi-rong |
| Institute of Electronics, Chinese Academy of Sciences, Beijing 100080, China |
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Abstract In this paper, a remote sensing images matching method based on Zernike moments and steady genetic algorithms is proposed. Genetic algorithms, which are rapid and efficient in global finding optima, are used to match the images. Considering rotation distortion, the Zernike moments of remote sensing images are used as similarity measurements. The results confirm the proposed algorithm can overcome the distortion of images and improve the efficiency while guarantee the accuracy.
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Received: 17 January 2004
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2005, Vol. 27 
