【摘要】 针对小卫星独立相机多光谱成像系统波段间配准的非线性误差问题,提出了一种多光谱图像波段间自动配准算法,该算法综合利用互信息、遗传算法和MQ几何校正模型进行多光谱图像的自动配准。在算法中,以互信息作为配准的相似性度量,获得了很高的配准精度;利用遗传算法的快速搜索特性,可以较快的完成搜索并获得整体的最优解;利用MQ几何模型可以精确的建立图像之间的几何关系。试验表明该算法对于多光谱图像波段间非线性几何关系,能够取得非常高的波段间自动配准精度,整体配准误差在一个像元以内。更多还原

【Abstract】 Satellite multi-spectral images which captured from independent camera photography system of small 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 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.更多还原