ID	原文	译文
8614	然而,真实环境中存在的极化非理想因素会影响PF-PS方法的性能,主要包括雷达天线的交叉极化响应以及跟踪过程中姿态改变导致的目标回波与干扰信号极化起伏。	Exist in the real world, however, the polarization of non-ideal factors will influence the properties of PF - PS method, mainly includes the cross polarization response of the radar antenna attitude change in the process of the tracking and target echo and jamming signals caused by the polarization of ups and downs.
8615	论文通过建立以上两种极化非理想因素的影响效应模型,进一步完善PF-PS算法结构,有效提高了该方法在主瓣干扰背景下对目标的连续跟踪性能。	Paper through the establishment of the above two kinds of polarization effect model of non-ideal factors, further optimize the structure of PF - PS algorithm and improve the method under the background of main lobe interference straight against the the target tracking performance.
8616	逆合成孔径雷达(inverse synthetic aperture radar,ISAR)像序列可以反映弹道目标在微动周期内的姿态变换及结构特征,本文在此基础上提出一种利用ISAR像序列估计弹道目标微动特征的方法。	Inverse synthetic aperture radar (inverse synthetic aperture radar, ISAR) like a ballistic target in micro cycle sequence can reflect the attitude transformation and structure characteristics, this paper based on this, advances a ballistic target is estimated based on the ISAR like sequence characteristics of micro method.
8617	首先基于relax算法提取较强的散射点,并采用距离-多普勒方法成像,然后利用灰度匹配算法对ISAR图像进行匹配,以提高微动周期估计精度。	First of all, based on the relax algorithm to extract the strong scattering points, and by adopting the method of range - doppler imaging, and then using gray matching algorithms of ISAR image matching, in order to improve the estimation precision micro cycle.
8618	通过分析散射点在成像平面上的投影关系从而建立散射点空间坐标与目标微动特征之间的联系,并根据散射点在ISAR图像序列上的相对位置差值与散射点空间坐标的表达式,估计目标的微动参数。	Through the analysis of scattering points on the imaging plane projection relationship by building space scattering point coordinates with the target the connection between the micro characteristics, and according to the relative position of scattering points on ISAR image sequence difference and scattering point expression of spatial coordinates, estimated target micro parameters.
8619	最后,仿真验证该方法的可行性与有效性,仿真结果表明该方法估计精度较高。	Finally, the simulation verify the feasibility and effectiveness of the method, the result of simulation shows that the precision of the method is higher.
8620	针对复杂图像分割问题开展研究,并以机器人视觉中目标搜索和识别问题为支撑目标,结合该背景明确提出了图像分割算法性能评价标准和侧重点。	Conduct research for complex image segmentation problem, and the goal of the robot visual search and identify problems to support goals, clear image segmentation algorithm is proposed combined with the background performance evaluation standard and focus.
8621	基于此约束,以Mean Shift分割方法为基础,并重点考虑了分割尺度的有效控制、分割过程兼顾场景深度信息等问题,对算法进行了针对性改进。	Based on the constraint, based on the Mean Shift method, and focus on the scale of effective control of the segmentation, the segmentation process problem such as scene depth information, give attention to two or morethings to targeted improved algorithm.
8622	针对分割尺度控制问题,提出了边缘敏感度的概念,提高了算法尺度分块的控制能力。	According to segmentation scale control problem, puts forward the concept of edge sensitivity, improve the control ability of the algorithm and scale block.
8623	针对深度信息融合问题,采用了双目视觉立体匹配和基于Kinect传感器的两种深度信息获取方法,均成功实现融合并提高了分割效果。	According to depth information fusion problem, using the stereo matching and binocular vision two depth information acquisition method based on the device sensor, are successful fusion and improve the effect of the segmentation.