基于时空搜索的红外微弱点状动目标检测技术

艾斯卡尔; 陈颖

红外与激光工程, 2005, 34 (4): 490, 网络出版: 2006-05-25

基于时空搜索的红外微弱点状动目标检测技术

Spatial-temporal detection of dim point moving targets in IR images

论文大纲

艾斯卡尔 ^1,*陈颖 ²

作者单位

¹ 新疆大学,数学学科博士后科研流动站,新疆,乌鲁木齐,830046

² 中国电子科技集团第十研究所,四川,成都,610036

检测与估计时空搜索点状目标弱信号红外图像序列 Detection and estimation Spatial -temporal detection Dim point target Weak signal IR image

摘要

在背景杂波被抑制后的图像序列中,残留样本为相互独立、服从高斯分布的条件下,首先论述了理想三维时空搜索检测算法,并对其性能进行分析.结果表明,虽然它具有最佳的检测性能,但是由于需要事先知道关于噪声及目标先验知识的缘故,无法进行实际应用.对此,研究了直接利用观测样本来估计噪声及目标的一、二阶矩,从而无须事先知道噪声统计特性的三维时空搜索检测算法及其详细步骤,推导了二元判决统计量所服从的概率分布函数(结果为f分布),对比分析了算法的检测性能,并给出了理想算法和本算法中共存的问题及其相应的改进方案.此种算法在连续多帧做任意运动的流星、人造卫星以及其他运动目标的光学检测与跟踪中应用广泛.

Abstract

After the discussion of detection performance and critical constraints of ideal spatial-temporal algorithm for detecting dim point moving targets in background-clutter suppressed IR images under the assumption of independent identical distribution of residual samples containing signal plus noise and nois ealone, a new practically efficient spatial -temporal detection algorithm is introduced in which there is no need knowing priori information about the noise or targets, instead they are estimated from the samples directly. The probabilistic distribution of statistic for binary hypothesis testing is derived and it＇s result is t-distribution function. The detection performance analysis, the problems remained in those two cases and their solutions are also given in this paper.The algorithm is useful for optically detecting meteors, satellites, and other moving targets which move in an arbitrary path across many frames of data.

参考文献

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艾斯卡尔, 陈颖. 基于时空搜索的红外微弱点状动目标检测技术[J]. 红外与激光工程, 2005, 34(4): 490. 艾斯卡尔, 陈颖. Spatial-temporal detection of dim point moving targets in IR images[J]. Infrared and Laser Engineering, 2005, 34(4): 490.

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