Automatic band matching for Beijing1 microsatellite multispectral images

Satellite multi-spectral images which captured from independent camera photography system of satellite 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, 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 reference and input 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.