In the field of automatic target recognition and tracking,traditional image complexity metrics,such as statistical variance and signal-to-noise ratio,all focus on single-frame images.However,there are few researches a...In the field of automatic target recognition and tracking,traditional image complexity metrics,such as statistical variance and signal-to-noise ratio,all focus on single-frame images.However,there are few researches about the complexity of image sequence.To solve this problem,a criterion of evaluating image sequence complexity is proposed.Firstly,to characterize this criterion quantitatively,two metrics for measuring the complexity of image sequence,namely feature space similarity degree of global background(FSSDGB)and feature space occultation degree of local background(FSODLB)are developed.Here,FSSDGB reflects the ability of global background to introduce false alarms based on feature space,and FSODLB represents the difference between target and local background based on feature space.Secondly,the feature space is optimized by the grey relational method and relevant features are removed so that FSSDGB and FSODLB are more reasonable to establish complexity of single-frame images.Finally,the image sequence complexity is not a linear sum of the single-frame image complexity.Target tracking errors often occur in high-complexity images and the tracking effect of low-complexity images is very well.The nonlinear transformation based on median(NTM)is proposed to construct complexity of image sequence.The experimental results show that the proposed metric is more valid than other metrics,such as sequence correlation(SC)and interframe change degree(IFCD),and it is highly relevant to the actual performance of automatic target tracking algorithms.展开更多
调制传递函数是红外遥感卫星像质评价的核心参数,但其在轨检测面临靶标温差稳定性不足与数据处理复杂两大挑战。提出一种基于三线靶标与温阶靶标协同的在轨调制传递函数(modulation transfer function,MTF)直接检测方法,通过靶标设计与...调制传递函数是红外遥感卫星像质评价的核心参数,但其在轨检测面临靶标温差稳定性不足与数据处理复杂两大挑战。提出一种基于三线靶标与温阶靶标协同的在轨调制传递函数(modulation transfer function,MTF)直接检测方法,通过靶标设计与模糊PID(proportional-integralderivative)温控算法,实现靶标温度均匀性(<0.5℃)、稳定性(±0.6℃)与重复性(>99%)的良好表现。基于傅里叶光学理论与辐射传输模型,结合“物方-像方调制度分离”计算原理,从遥感影像中直接提取奈奎斯特频率处MTF值,避免了传统方法中大气因素、数值微分以及参数拟合误差等对MTF检测的影响,为高分辨率红外卫星定量化应用提供了高精度技术支撑。展开更多
基金supported by the National Natural Science Foundation of China(61703337)Shanghai Aerospace Science and Technology Innovation Fund(SAST2017-082)
文摘In the field of automatic target recognition and tracking,traditional image complexity metrics,such as statistical variance and signal-to-noise ratio,all focus on single-frame images.However,there are few researches about the complexity of image sequence.To solve this problem,a criterion of evaluating image sequence complexity is proposed.Firstly,to characterize this criterion quantitatively,two metrics for measuring the complexity of image sequence,namely feature space similarity degree of global background(FSSDGB)and feature space occultation degree of local background(FSODLB)are developed.Here,FSSDGB reflects the ability of global background to introduce false alarms based on feature space,and FSODLB represents the difference between target and local background based on feature space.Secondly,the feature space is optimized by the grey relational method and relevant features are removed so that FSSDGB and FSODLB are more reasonable to establish complexity of single-frame images.Finally,the image sequence complexity is not a linear sum of the single-frame image complexity.Target tracking errors often occur in high-complexity images and the tracking effect of low-complexity images is very well.The nonlinear transformation based on median(NTM)is proposed to construct complexity of image sequence.The experimental results show that the proposed metric is more valid than other metrics,such as sequence correlation(SC)and interframe change degree(IFCD),and it is highly relevant to the actual performance of automatic target tracking algorithms.
文摘调制传递函数是红外遥感卫星像质评价的核心参数,但其在轨检测面临靶标温差稳定性不足与数据处理复杂两大挑战。提出一种基于三线靶标与温阶靶标协同的在轨调制传递函数(modulation transfer function,MTF)直接检测方法,通过靶标设计与模糊PID(proportional-integralderivative)温控算法,实现靶标温度均匀性(<0.5℃)、稳定性(±0.6℃)与重复性(>99%)的良好表现。基于傅里叶光学理论与辐射传输模型,结合“物方-像方调制度分离”计算原理,从遥感影像中直接提取奈奎斯特频率处MTF值,避免了传统方法中大气因素、数值微分以及参数拟合误差等对MTF检测的影响,为高分辨率红外卫星定量化应用提供了高精度技术支撑。
