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Preventive actions of cultural heritage continuously emerge in order to preserve the identity of the respective civilizations, retain its cultural significance and ensure its accessibility to present ...
The growing interest in recent years in Unmanned Aerial Vehicles (UAVs) by the scientific community, software developers, and geomatics professionals, has led these systems to be used more and more wi...
The point cloud generated by multiple image matching is classified as an unstructured point cloud because it is not regularly point spaced and has multiple viewpoints. The surface reconstruction techn...
Detecting unregistered buildings from aerial images is an important task for urban management such as inspection of illegal buildings in green belt or update of GIS database. Moreover, the data acquis...
The recent seismic swarms, occurred in Italy since August 2016, outlined the importance of deepen Geomatics researches for the validation of new strategies aimed at rapid-mapping and documenting diffe...
Large scale topographical mapping in the third world countries is really a prominent challenge in geospatial industries nowadays. On one side the demand is significantly increasing while on the other ...
The trend to minimize electronic devices in the last decades accounts for Unmanned Airborne Vehicles (UAVs) as well as for sensor technologies and imaging devices, resulting in a strong revolution in ...
在基于SAR回波的数据处理中,多普勒调频率具有很高的估计精度且对场景的依赖性很小,可以更广泛地用于自聚焦处理。基于多普勒调频率参数估计, 针对回波包络及相位分别提出了误差提取模型,并通过包络误差校正和相位误差补偿两个步骤实现了高精度的运动补偿处理。实测数据表明,本文方法可以在低精度导航信息情况下获取高分辨率雷达图像。
在基于SAR回波的数据处理中,多普勒调频率具有很高的估计精度且对场景的依赖性很小,可以更广泛地用于自聚焦处理。基于多普勒调频率参数估计, 针对回波包络及相位分别提出了误差提取模型,并通过包络误差校正和相位误差补偿两个步骤实现了高精度的运动补偿处理。实测数据表明,本文方法可以在低精度导航信息情况下获取高分辨率雷达图像。
The collection and updating of 3D data is the one of the important steps for GIS applications which require fast and efficient data collection methods. The photogrammetry has been used for many years ...
以对抗条件下,无人机(unmanned aerial vehicle, UAV)编队执行对地攻击任务为作战背景,构建多UAV对地攻击模型,利用多指标正交实验设计原理,研究编队配系的优化方法。首先,以武器类型和目标类型为对象,建立对抗双方各自的目标分配模型;其次,以目标探测、识别、杀伤和评估为基本任务,建立编队的攻击过程模型;以任务执行总代价、目标毁伤程度和任务执行时间为评价指标,建立目标函数模型;...
A small cost-low civilian UAV (Unmanned Aerial Vehicle - UAV) platform usually requests that all carried components should be light in weight, small in volume, and efficient in energy. This paper pres...
Abstract: In this paper we consider a collection of single-antenna ground nodes communicating with a multi-antenna unmanned aerial vehicle (UAV) over a multiple-access ground-to-air wireless communica...
针对在复杂大范围环境下低空突防的多无人飞行器, 通过分析威胁环境和协同突防的相关要素, 提出了协同规划框架.设计了基于空间冲突预处理的打击时序协同算法; 提供突防效能计算的基于变步长时间同步目标分配算法; 通过协同突防航迹选择优化算法的不断迭代计算, 实现协同突防规划. 仿真分析验证了规划算法的有效性.
无人驾驶飞机(UAV)系统的协调问题是UAV研究领域的一个重要问题。本文研究了适应于UAV系统的Agent结构模型以及组织模型,提出了一种基于Agent组织的多UAV协调模型并给出了其数学化表述,分析了多UAV协调模型中任务协调、角色协调以及动作协调等三个阶段,并对本文提出的模型进行了仿真。实验表明,模型具有较好地适应性和稳定性。

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