ID 原文 译文
11454 搭建自动着舰综合仿真平台,以国外现役某小型舰载无人机为例。 Building integrated simulation platform, automatic carrier landing a small carrier-based unmanned aerial vehicle (uav) in active service abroad, for example.
11455 仿真结果表明,该自动着舰系统能较好地克服各种因素的影响,实现无人机安全着舰,着舰性能符合要求。 The simulation results show that the automatic carrier landing system can overcome the influence of various factors, achieve unmanned aerial vehicle (uav) security the ship, the ship performance meets the requirements.
11456 证据网是一种基于D-S(Demspter-Shafer)理论层次化推广的推理模型,和D-S理论一样,当证据网中传感器节点不可靠时需要进行折扣(可靠性)处理。 Network is a kind of based on D - S evidence (Demspter Shafer theory reasoning model of hierarchical promotion, and D - S theory, when sensor nodes unreliable evidence network requires discount (reliability) processing.
11457 由于证据网是一种多层次的节点信息融合,折扣在不同融合层次传感器上,影响不同层次上的冲突,所以折扣的设置需全局考虑冲突情况。 ‭Because evidence network node information fusion is a multi-level, discounts on different fusion level sensor, influence of different levels of conflict, so the discount set up to consider global conflict.
11458 已有的可靠性评估方法是D-S理论中的评估,这些方法并不能保证在融合中全局的冲突最小,针对这一问题提出一种以减小全局冲突为目标使用混合编码遗传算法进行可靠性评估的方法。 ‭Existing assessment of reliability assessment method is D - S theory, the method does not guarantee minimum in the integration of global conflict, in order to solve this problem in this paper, a targets to reduce the global conflict using hybrid coding genetic algorithm for reliability evaluation method.
11459 在仿真实验中通过与已有的可靠性评估方法进行比较,证明了该方法更能减小全局冲突,获得更好的结果。 ‭In the simulation experiments by comparing with the reliability of the existing evaluation methods, show that the method can reduce the global conflict, get better results. ‭
11460 极化合成孔径雷达(polarimetric synthetic aperture radar,PolSAR)图像中同一目标在不同时相下的散射特性会因数据采集条件的变化而发生变化,从而影响变化检测结果的正确性。 Polarization synthetic aperture radar (polarimetric synthetic aperture radar, PolSAR) images of the same goals without at the same time, scattering properties of phase will change because of the change of data acquisition conditions, thus affecting the correctness of the change detection results.
11461 针对这一问题,提出了一种基于极化状态提取的极化SAR图像变化检测算法。 In order to solve this problem, this paper proposes a based on the polarization of the state of extracting SAR image change detection algorithm.
11462 首先利用不变样本目标提取图像的最优极化状态,并将此极化状态下的接收功率比值作为变化检测特征量,最后利用双阈值判别方法提取变化区域实现变化检测。 First of all use the same image sample target extraction of the optimal polarization state, and the polarization state of the received power ratio as the change detection characteristic, finally, change area is extracted using double threshold determination method for detecting changes.
11463 利用美国UAVSAR系统采集的全极化SAR实测数据进行实验,结果表明,本文算法能有效检测出地物的变化情况,且检测虚警少、轮廓清晰。 Using the UAVSAR system to collect the whole polarization SAR measured data of experiment, the results show that this algorithm can effectively detect the changes of the terrain, and low detection false alarm, clear outline.