ID	原文	译文
8554	基于C-W方程建立了航天器拦截的相对运动方程,采用多颗拦截卫星协同进攻的方式,根据战场态势利用遗传算法制定出拦截卫星最优协同策略,并对算法的运行参数及遗传操作进行优化设计,提高算法的自适应能力。	Equation is established based on the C - W spacecraft intercept equation of relative motion, with the method of intercept satellite more collaborative attack, according to the battlefield by using genetic algorithm to develop a intercept satellite optimal coordination strategy, and the running parameters of the algorithm and optimized design of genetic operation, improve the adaptive ability of the algorithm.
8555	仿真结果表明,该方法在脉冲推力的假设下提出的一种最优拦截方案能够更加灵活地满足拦截任务的需求,通过各拦截卫星之间的协同,能够有效提高整体作战效能。	Simulation results show that the method in pulse thrust under the assumption of a optimal intercept scheme put forward in this paper can more flexibility to meet the needs of interception mission, through the synergy between the intercept satellite, can effectively improve the overall operational effectiveness.
8556	针对现有的网络抗毁性分析方法无法体现装备体系网络抗毁性评估的缺陷,提出了一种基于超网络抗毁性评估方法。	In view of the existing network anti-destroying ability analysis method can't reflect the defects of equipment system network anti-destroying ability evaluation, is put forward based on the super network anti-destroying ability evaluation methods.
8557	通过对超网络模型节点与边的结构关系分析,建立起装备体系超网络模型。	Through the super network model structure relationship analysis of node and edge, set up equipment system super network model.
8558	由此总结出网络自然连通度、分类度与分类度分布、子网聚类系数等抗毁性测度指标,并对超网络下的装备体系抗毁性进行仿真分析,得出不同攻击策略下装备体系网络抗毁性的变化规律,对装备体系建设具有一定的借鉴作用。	Thus summed up the classification of network connectivity, classification and nature degree distribution, gathering originative anti-destroying ability measure indexes such as class coefficient, and the equipment of the super network system by simulating the anti-destroying ability, it is concluded that the equipment under different attack strategy system, the change rule of network anti-destroying ability of equipment system construction has a certain reference.
8559	针对合成孔径雷达(synthetic aperture radar,SAR)图像相干斑抑制问题,提出一种基于聚类字典学习和稀疏表示的SAR图像抑斑方法。	For synthetic aperture radar (synthetic aperture radar, SAR) image, coherent rejection problem is put forward based on clustering dictionary learning and sparse representation method of SAR image spot suppression.
8560	本方法以相干斑噪声的非对数加性模型为基础,通过改进相似度测度的K-means聚类和主成分分析方法进行字典学习,克服了相干斑噪声非高斯性带来的影响,形成具有结构性聚类的字典原子;	This method by coherent spot noise of logarithmic additivity model as the foundation, through improved similarity measure K - means cluster and principal component analysis method to study dictionary, overcome the effects of the coherent spot non gaussian noise, forming a structural dictionary atom clustering;
8561	在稀疏分解方面,通过引入方差稳定因子,建立了适用于抑制SAR相干斑噪声的稀疏表示模型,并通过交替迭代算法进行代价方程求解;	In sparse decomposition, with the introduction of variance stability factor, set up suitable for sparse representation model of suppressed SAR coherent noise, and the cost equation with the alternating iterative algorithm;
8562	同时算法还增加了点目标保护措施,避免了对图像点目标"过滤波"。	Algorithm, also increased a little bit of protection measures at the same time, avoids the point target image "filter".
8563	通过卫星、无人机SAR图像的抑斑实验证明,相比经典的SAR图像抑斑方法,所提的方法在抑斑的视觉效果上和客观评价指标上都有较大的提升。	Via satellite, of the uav SAR image spot experiments show that compared with the classical SAR image spot suppression method, the proposed method on the spot the visual effect of suppression and objective evaluation index has larger ascension.