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Remote Sensing Technology and Application  2007, Vol. 22 Issue (1): 95-100    DOI: 10.11873/j.issn.1004-0323.2007.1.95
    
A New Automatic Band Registration Algorithm for Satellite Multispectral Remote Sensing Images
MA Guang-bin, ZHANG Wen-yi, LIU Ding-sheng, CHEN Fu
(China Remote Sensing Statellite Ground Station,Beijing100086,China)
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Abstract  

Satellite multi-spectral images which captured from independent camera photography system of smallsatellite have nonlinear errors in spatial position. To this complicated problem, the paper introduces an automatic registration method to match multi-spectral images automatically, in which the mutual information,genetic algorithm and MQ geometric correction models are intergraded. In its algorithm, the mutual information is used as a similarity function of the registration problem, which can achieve an accurately registration precision; and the genetic algorithms are utilized to search the optimization value fast by its characteristics of finding global optima rapidly and efficiently; Meanwhile, the MQ geometric correction models are also adopted to develop a correspondence between the input and output images quickly. From the experimental results, it seems that this method can achieve a better accurate automatic registration results in bands nonlinear geometric relationships between multi-spectral images, whose error of the entire matching is less than a pixel.

Key words:  Mutual information      Genetic algorithm      Image registration      Geometric rectification      Control point       
Received:  03 July 2006      Published:  14 October 2011
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Cite this article: 

MA Guang-bin, ZHANG Wen-yi, LIU Ding-sheng, CHEN Fu. A New Automatic Band Registration Algorithm for Satellite Multispectral Remote Sensing Images. Remote Sensing Technology and Application, 2007, 22(1): 95-100.

URL: 

http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2007.1.95     OR     http://www.rsta.ac.cn/EN/Y2007/V22/I1/95


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