The technique of image synthesis was applied to this study to achieve the accurate estimation of missile attitude angles,and an improved attitude angle estimation algorithm based on image synthesis was proposed.The improved ettimation algorithm performs the image registration based on the largest mutual information,and selects the wavelet transform fusion algorithm to finish the image synthesis.And on this basis,the model feature points coordinates can be automatically extracted through the Hough transform algorithm to estimate the attitude angles of missiles by using the theory of weak perspective projection.The image registration method based on the largest mutual information does not require complex image pre-proccessing,but has the performance of enhancing the image synthesis.The simulation results show that the algorithm proposed can increase the accuracy of missile attitude angle estimation and it has the good versatility.%针对现有导弹姿态角估计算法对导弹姿态估计不够精确的问题,提出了一种基于图像合成的改进的导弹姿态角估计算法.该算法采用基于最大互信息的图像配准,而且选择小波变换融合算法对图像进行合成.在此基础上,采用弱透视投影理论,通过霍夫(Hough)变换自动提取模型特征点坐标,从而对导弹姿态角进行估计.基于最大互信息的图像配准,不需要对图像进行复杂地预处理,且能够很好地增强图像细节.仿真结果表明,应用图像合成方法和改进的姿态角估计算法可提高导弹姿态角估计的准确性,改进算法具有很好的通用性.
展开▼
