无重叠图像期间的卫星平台颤振估计算法  

Algorithm for Satellite-Platform Jitter Estimation in Period of Non-Overlapping Images

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作  者:刘海秋 马慧敏[1] 江朝晖[1] 闫得杰[2] Liu Haiqiu;Ma Huimin;Jiang Zhaohui;Yan Dejie(School of Information and Computer, Anhui Agricultural University, Hefei, Anhiu 230036, China;Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Acadertuj of Sciences,Changchun, Jilin 130033, China)

机构地区:[1]安徽农业大学信息与计算机学院,安徽合肥230036 [2]中国科学院长春光学精密机械与物理研究所,吉林长春130033

出  处:《光学学报》2019年第5期161-172,共12页Acta Optica Sinica

基  金:国家自然科学基金(61805001);安徽省自然科学基金(1808085QF218);安徽农业大学青年基金重点项目(2015ZD16)

摘  要:提出了基于双重约束函数的无重叠图像期间的颤振估计算法。建立了视差图像与低频颤振相结合的双重约束函数,以评价无重叠图像期间颤振曲线的平滑度;采用共轭梯度法筛选颤振曲线平滑度最优解,并以此作为无重叠图像期间颤振的最佳估计;建立了无重叠图像期间与重叠图像期间颤振之间的函数关系式。以我国XX-1号可见光详查相机为例进行实验,颤振探测结果在被测颤振的频率既不等于也不接近特征频率的整数倍处具备有效性,证明了所提算法能够对无重叠图像期间非特征频率整数倍及其附近处的颤振进行有效探测。In this study, a jitter estimation algorithm during the acquisition period of non-overlapping images was proposed based on a double-constraint function. The double-constraint function was derived by combining the parallax-observation images with the low-frequency jitter to evaluate the smoothness of the jitter curve during the acquisition period of non-overlapping images. The conjugate-gradient method was used to find the smoothest curve, and the corresponding solution was used as the optimum estimation of jitter during the acquisition period of non-overlapping images. The quantitative relation between the jitter during the acquisition period of non-overlapping images and that during the acquisition period of overlapping images was established. The experimental results using the Chinese XX-1 space camera show that the jitter detection results are only valid when the measured jitter frequencies are neither equal nor close to any integer multiple of the characteristic frequency. This in turn proves that in such cases, the proposed algorithm can effectively detect the jitter during the acquisition period of non-overlapping images.

关 键 词:卫星颤振 颤振估计 无重叠图像 电荷耦合器件拼接区 

分 类 号:V448.151[航空宇航科学与技术—飞行器设计]

 

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