Zernike多项式在拟合光学表面面形中的应用及仿真

光学镜面在重力的作用下,会产生镜面变形,这种变形包括刚体位移和表面变形,将对光学系统的成像品质产生不同的影响。文章通过Matlab软件,对有限元分析后的数据进行处理,用Zernike多项式精确拟合变形后的镜面面形,并在Matlab中绘出镜面面形云图,最后计算出表面变形的表面变形均方根和表面变形最大值与最小值之差。实例计算表明,该方法能将镜面变形的刚体位移和表面变形分离,适合于光学自由曲面的镜面面形精度分析。     

天基光学传感器的视线测量误差分析

针对天基光学传感器的视线测量误差分析问题,提出一种基于多因素分析的视线测量误差分析方法。利用目标到光学传感器像平面的转换关系,建立目标观测模型。分析视线测量过程中的各种误差源,从理论上推导地惯坐标系下的视线测量误差与卫星轨道误差、卫星姿态误差、传感器指向误差以及像元分辨率的关系。Monte Carlo仿真试验验证了该理论分析方法的有效性,分析结论可以为工程应用提供参考。
     

地球与大气反射光对空间光学传感器探测能力的影响仿真研究

现有辐射计算模型不考虑地表的各向异性特征,导致计算结果存在较大误差。针对这一问题,提出一种新的地球与大气反射光对传感器照度贡献的计算模型,考虑了地表反射、大气散射和辐射传输三方面的影响因素;在此基础上提出一种启发式蒙特卡罗重点光线采样方法,该方法根据给定的传感器参数和空间几何参数高效解算地球与大气反射光对空间光学传感器探测能力的影响程度。     

星图运动模糊及其复原方法

研究了载体角运动及振动对星敏感器成像的影响,推导并建立了不同飞行状态下星图模糊的数学模型.在此基础上讨论了多重运动模糊机理,提出采用分步复原方案去除多重星图模糊,以保证高动态环境下星敏感器工作的精确性及稳定性.仿真结果表明,载体运动造成的星体质心提取误差与具体运动形式及参数有关,并通过比较复原前后星敏感器的定姿效果,验证了模糊星图分步复原方法的有效性.      

建立航天遥感器战略储备的初步构想

结合中国国情及研制航天遥感器的现状 ,阐述了对航天遥感器实行战略储备的初步构想 ;并根据航天遥感器在实际应用中的技术特点 ,对实施遥感器战略储备的必要性、可行性和重要意义进行了分析。     

阵元间互耦和幅度/相位失配参数的联合估计

针对阵列信号处理中存在的阵元间互耦和阵元幅度/相位失配的问题,提出了一种适用于任意阵列结构的估计算法。该算法使用一个辅助信号源,从不同方向分时发射信号,发射方向的个数决定于阵列中的阵元个数。算法能够利用信号子空间与噪声子空间的正交特性同时求解阵元间互耦系数和阵元幅度/相位失配参数。计算机仿真实验结果证明了该算法的正确性和有效性。     

A330 F/CTL SENSOR FAULT保留程序分析和总结

就A330飞机F/CTL SENSOR FAULT警告信息在最低设备清单里的条款要求进行说明,通过多角度分析并结合实际工作给出执行建议,并对容易误解之处做出详细说明.     

碳纤维复合材料在光学遥感器中的应用探讨

碳纤维复合材料因性能优异而成为光学遥感器新一代理想的结构材料.由于光学遥感器的特殊性,使得复合材料的材料选择和成型工艺更为严格.文章结合卫星光学遥感器相机镜筒的设计要求,阐述了成型技术应着力解决的问题.     

电传飞机加速度传感器安装位置对飞行品质的影响

从飞行控制系统原理出发,以某型电传飞机为例,通过六自由度仿真对比,分析加速度传感器安装位置对飞行品质的影响,并从飞行品质的角度出发,对采用电传飞控系统飞机的加速度传感器安装位置提出建议.     

A novel method for destriping of OCM-2 data and radiometric performance analysis for improved ocean color data products

Despite the capability of Ocean Color Monitor aboard Oceansat-2 satellite to provide frequent, high-spatial resolution, visible and near-infrared images for scientific research on coastal zones and climate data records over the global ocean, the generation of science quality ocean color products from OCM-2 data has been hampered by serious vertical striping artifacts and poor calibration of detectors. These along-track stripes are the results of variations in the relative response of the individual detectors of the OCM-2 CCD array. The random unsystematic stripes and bandings on the scene edges affect both visual interpretation and radiometric integrity of remotely sensed data, contribute to confusion in the aerosol correction process, and multiply and propagate into higher level ocean color products generated by atmospheric correction and bio-optical algorithms. Despite a number of destriping algorithms reported in the literature, complete removal of stripes without residual effects and signal distortion in both low- and high-level products is still challenging. Here, a new operational algorithm has been developed that employs an inverted gaussian function to estimate error fraction parameters, which are uncorrelated and vary in spatial, spectral and temporal domains. The algorithm is tested on a large number of OCM-2 scenes from Arabian Sea and Bay of Bengal waters contaminated with severe stripes. The destriping effectiveness of this approach is then evaluated by means of various qualitative and quantitative analyses, and by comparison with the results of the previously reported method. Clearly, the present method is more effective in terms of removing the stripe noise while preserving the radiometric integrity of the destriped OCM-2 data. Furthermore, a preliminary time-dependent calibration of the OCM-2 sensor is performed with several match-up in-situ data to evaluate its radiometric performance for ocean color applications. OCM-2 derived water-leaving radiance products obtained after calibration show a good consistency with in-situ and MODIS-Aqua observations, with errors less than the validated uncertainties of ±5% and ±35% endorsed for the remote-sensing measurements of water-leaving radiance and retrieval of chlorophyll concentrations respectively. The calibration results show a declining trend in detector sensitivity of the OCM-2 sensor, with a maximum effect in the shortwave spectrum, which provides evidence of sensor degradation and its profound effect on the striping artifacts in the OCM-2 data products.