ID 原文 译文
5724 首先对SAR图像提取感兴趣区域用于图像间的粗配准,以减少算法压力； first of all, interested in SAR image extraction area for coarse registration between images, in order to reduce algorithm pressure;
5725 之后提取图像中稳定结构特征,构建光学图像与SAR图像间精确变换关系。 After the structure stability of the image feature extracting, build accurate transformation relationship between optical image and SAR image.
5726 通过实测数据实验,证明了该算法的有效性。 Through experiment and the measured data prove the effectiveness of the algorithm.
5727 机载预警雷达在探测空中目标时,常面临地面目标的点干扰和航迹干扰。 Airborne early warning radar in the detection of air targets, often face the ground target point and track.
5728 地面目标过滤是机载预警雷达航迹优化的重要内容,可以有效改善目标航迹质量。 Ground targets filtering is an important content of airborne early warning radar track optimization, can effectively improve the quality of target track.
5729 针对地面目标过滤问题,本文研究了基于多普勒特征的地面空中目标识别方法。 Aiming at ground targets filtering problem, this paper studies the ground air targets based on doppler feature recognition method.
5730 首先在对交通流建模仿真的基础上,分析了地杂波背景下高速公路目标回波的多普勒特征; First of all, on the basis of the modeling and simulation of traffic flow, ground clutter is analyzed under the background of the highway target echo doppler characteristics;
5731 然后利用地面和空中目标的多普勒特征差异,设计了一种目标分类准则。 Then use the ground and air targets doppler characteristics differences, we design a target classification criteria.
5732 仿真结果表明分类准则在确保空中目标具有较高识别概率的同时,也保证了对地面目标具有较高的识别概率,从而能够有效滤除大部分地面高速公路目标。 The simulation results show that the classification criteria to ensure that air targets with high identification probability at the same time, also ensures that the recognition of ground targets with high probability, which can effectively filter out most of the ground target on the highway.
5733 针对深度优先的多路径匹配追踪算法在进行图像重构时需要已知图像稀疏度、计算复杂度高等问题,提出了阈值多路径稀疏度自适应图像重构算法。 In view of the multipath depth-first matching pursuit algorithm in image reconstruction needs known image sparse degree and high computational complexity problem, the adaptive threshold multipath sparse ratings image reconstruction algorithm.