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机构地区:[1]哈尔滨工业大学电气工程及自动化学院,黑龙江哈尔滨150001
出 处:《红外与激光工程》2011年第12期2546-2551,共6页Infrared and Laser Engineering
基 金:国家自然科学基金(60877065/F050401);高等学校博士学科点专项科研基金(20092302110026);全光网络与现代通信网教育部重点实验室开放基金
摘 要:针对红外图像序列中未知亮度、位置和速度的弱小运动目标检测问题,在假定目标强度恒定且保持匀速直线运动的前提下,建立了与之相应的简化二元量测信号模型。对于这种含参信号的复合假设检验问题,采用广义似然比检验(GLRT)得到了该问题的检测算子,同时利用速度滤波器组在实际应用中实现了该检测算子。从理论角度估计了该算法的虚警概率和检测概率,并通过计算机仿真验证了上述分析结果。为了评估该算法的有效性,采用基于真实场景的红外图像序列对其进行测试,结果表明,该算法对于低信噪比条件下的弱小运动目标具有良好的检测效果。According to the problem of detecting a dim moving target with unknown target amplitude, position and velocity from IR image sequence, the corresponding simplified binary measurement signal model was built, assuming that the target intensity was constant and the target keeps uniform motion in a straight line. Based on the simplified binary measurement signal model, the composite hypothesis testing problem was approached by means of the generalized likelihood ratio test (GLRT) theory. The detector structure and its actual implementation based on velocity filters were discussed in detail. Approximated expressions of the false alarm and detection probabilities were obtained and validated by means of computer simulation. To test the effectiveness of the detection algorithm, the detection results obtained on a set of real IR image sequence were presented and discussed. These results indicate that the proposed algorithm can obtain a good performance on dim moving target detection with low SNR.
关 键 词:弱小目标检测 红外图像序列 广义似然比检验 速度滤波器
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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