ID	原文	译文
9304	通过对余下信号做相参积累,凸显了微弱目标,提高了微弱目标的检测性能。	Through to the remaining signal coherent accumulation, underlines the weak target, improves the detection performance of weak targets.
9305	仿真实验验证了算法的有效性和优越性。	The simulation results verify the validity and superiority of the algorithm.
9306	为更好地解决复杂背景下非结构化自然场景对象的轮廓提取问题,提出了一种引导滤波与视觉感知机制相结合的方法。	To better solve the unstructured nature under complex background scene object contour extraction problem, puts forward a guide filter and the method of combining the visual perception mechanism.
9307	通过改进的加权引导滤波方法对输入图像进行预处理,在去除图像中噪声的同时,保留和突出图像中物体的轮廓信息;‭	‭Through the guidance of the improved weighted filter method for preprocessing of the input image in removing image noise at the same time, the retention and highlight the contours of objects in the image information;
9308	之后采用基于非经典感受野视觉机制的背景抑制和轮廓增强算法进行处理。	‭After visual mechanism based on the classical receptive field background suppression and contour enhancement algorithm for processing. ‭
9309	给出了完整的处理流程,阐述了各部分算法的实现步骤。	Gives a complete processing process, this paper expounds the steps of realization of each part of the algorithm.
9310	通过最后定性和定量的实验对比,所提出的算法在效果上优于以往的同类算法,为进一步自然场景轮廓提取的实用化改进和视觉感受野仿生图像处理提供了一种思路。	‭Through the experiment of the qualitative and quantitative comparison, the proposed algorithm in effect is better than that of previous similar algorithm, natural scene contour extraction for further practical improvement and visual receptive field bionic image processing provides a train of thought.
9311	以复杂海战场环境下舰载无人机对海突击作战为背景,针对舰载无人机航路规划中容易忽略的威胁之间相互联系的问题,分析了威胁联网下航路规划领域的研究现状,针对其不足,建立了新的威胁分类方法,将威胁划分为机动威胁和固定威胁;	Carrier-based unmanned aerial vehicle (uav) in complex naval battle field environment of sea assault operations as the background, for carrier-based unmanned aerial vehicle (uav) route planning in the mutual relationship between easy to ignore the threat of problem, analysis the research status in the field of route planning under threat networking, aiming at its disadvantages, a new threat classification method is established, could be divided into mobile and fixed threat threat;
9312	构建了新的威胁联网模型,特别对距离舰载无人机航路较远,但联网后可以对舰载无人机产生威胁的威胁进行了着重研究,创新解决了机动威胁在威胁联网情况下的反应问题;	Built a new threat network model, especially for carrier-based unmanned aerial vehicle (uav) route distance far away, but after networking carrier-based drones can be a threat on the threat of research, innovation solved in threats to mobile networking of response problem;
9313	最后基于遗传算法进行了仿真,分析对比了威胁联网与否对航路规划的影响,规划出了在威胁联网情况下的可行航路。	Finally, the simulation based on genetic algorithm, and analyzed the threat to the network or not influence on route planning, planning out the feasible route in the case of threat to networking.