指挥控制(C2,Command and Control)关系网络连接数的增加会增强指控节点之间的信息共享,但也会增加节点信息处理和交换负荷,如果达到一定程度,则会造成节点本身的"信息过载"从而影响C2网络性能。对此,通过研究C2网络在两种不...指挥控制(C2,Command and Control)关系网络连接数的增加会增强指控节点之间的信息共享,但也会增加节点信息处理和交换负荷,如果达到一定程度,则会造成节点本身的"信息过载"从而影响C2网络性能。对此,通过研究C2网络在两种不同处理方式下的共享感知信息平均提交时间,用网络节点响应时间的均方差表征一个C2网络的共享态势感知时间的一致性,最后对两种不同结构C2网络特征参数的计算,说明了网络连接增加会导致信息提交时间的延长,但一致性会增强。展开更多
针对红外与弱可见光图像传统融合算法在结果图像中目标不突出、整体对比度降低、边缘及纹理细节不清晰、缺失等问题,本文提出一种基于感知一致性空间(Perception Unified Color Space,PUCS)和双树复小波变换(Dual Tree Complex Wavelet ...针对红外与弱可见光图像传统融合算法在结果图像中目标不突出、整体对比度降低、边缘及纹理细节不清晰、缺失等问题,本文提出一种基于感知一致性空间(Perception Unified Color Space,PUCS)和双树复小波变换(Dual Tree Complex Wavelet Transform,DTCWT)的融合算法。首先,将红外与弱可见光图像的亮度分量由RGB空间分别转至感知一致性空间得到新的亮度分量以备后续变换处理;接着,将源图像利用DTCWT进行多尺度分解,分别获取各自的低频分量与高频分量;然后,根据不同频带系数特点,提出一种基于区域能量自适应加权的规则对低频子带分量进行融合,采用一种基于拉普拉斯能量和与梯度值向量的规则对不同尺度、方向下高频子带分量进行融合;最后,对融合后的高、低频子带分量进行DTCWT逆变换重构图像,再将其转回至RGB空间以得到最终结果。在不同场景下将本文算法与3种高效融合算法进行对比评价,实验结果表明,本文算法不但在主观视觉上具有显著的目标特征、清晰的背景纹理及边缘细节、整体对比度适宜,而且在8项客观评价指标上也取得了较好的效果。展开更多
In recent years,context aware technology has been widely used in many fields,such as internet of vehicles(IoV).Consistent context information plays a vital role in adapting a system to rapidly changing situations.Howe...In recent years,context aware technology has been widely used in many fields,such as internet of vehicles(IoV).Consistent context information plays a vital role in adapting a system to rapidly changing situations.However,sensor's precision variance,equipment heterogeneity,network delay and the difference of statistical algorithms can lead to inconsistency context and inappropriate services.In this paper,we present an effective algorithm of context inconsistent elimination which is based on feedback and adjusted basic reliability distribution.Through feedback,each sensor's perception precision can be obtained,and with the adjusted basic reliability distribution scheme,we can make full use of all context information by adjusting the influence of every context on whole judgment based on sensor's perception precision and threshold of sensor's perception precision,and then eliminate context inconsistency.In order to evaluate the performance of the proposed context inconsistency elimination algorithm,context aware rate is defined.The simulation results show that the proposed context inconsistency elimination algorithm can obtain the best context aware rate in most cases for the varied error rates of sensors.展开更多
文摘指挥控制(C2,Command and Control)关系网络连接数的增加会增强指控节点之间的信息共享,但也会增加节点信息处理和交换负荷,如果达到一定程度,则会造成节点本身的"信息过载"从而影响C2网络性能。对此,通过研究C2网络在两种不同处理方式下的共享感知信息平均提交时间,用网络节点响应时间的均方差表征一个C2网络的共享态势感知时间的一致性,最后对两种不同结构C2网络特征参数的计算,说明了网络连接增加会导致信息提交时间的延长,但一致性会增强。
文摘针对红外与弱可见光图像传统融合算法在结果图像中目标不突出、整体对比度降低、边缘及纹理细节不清晰、缺失等问题,本文提出一种基于感知一致性空间(Perception Unified Color Space,PUCS)和双树复小波变换(Dual Tree Complex Wavelet Transform,DTCWT)的融合算法。首先,将红外与弱可见光图像的亮度分量由RGB空间分别转至感知一致性空间得到新的亮度分量以备后续变换处理;接着,将源图像利用DTCWT进行多尺度分解,分别获取各自的低频分量与高频分量;然后,根据不同频带系数特点,提出一种基于区域能量自适应加权的规则对低频子带分量进行融合,采用一种基于拉普拉斯能量和与梯度值向量的规则对不同尺度、方向下高频子带分量进行融合;最后,对融合后的高、低频子带分量进行DTCWT逆变换重构图像,再将其转回至RGB空间以得到最终结果。在不同场景下将本文算法与3种高效融合算法进行对比评价,实验结果表明,本文算法不但在主观视觉上具有显著的目标特征、清晰的背景纹理及边缘细节、整体对比度适宜,而且在8项客观评价指标上也取得了较好的效果。
基金supported by Scientific Research Foundation for the Excellent Young and Middle-aged Scientists of Shandong Province(No.BS2012DX024)Independent Innovation Foundation of Shandong University(No.2012ZD035)Technical Innovative Project of Shandong Province(No.201230201031,No.201320201024)
文摘In recent years,context aware technology has been widely used in many fields,such as internet of vehicles(IoV).Consistent context information plays a vital role in adapting a system to rapidly changing situations.However,sensor's precision variance,equipment heterogeneity,network delay and the difference of statistical algorithms can lead to inconsistency context and inappropriate services.In this paper,we present an effective algorithm of context inconsistent elimination which is based on feedback and adjusted basic reliability distribution.Through feedback,each sensor's perception precision can be obtained,and with the adjusted basic reliability distribution scheme,we can make full use of all context information by adjusting the influence of every context on whole judgment based on sensor's perception precision and threshold of sensor's perception precision,and then eliminate context inconsistency.In order to evaluate the performance of the proposed context inconsistency elimination algorithm,context aware rate is defined.The simulation results show that the proposed context inconsistency elimination algorithm can obtain the best context aware rate in most cases for the varied error rates of sensors.
