中文摘要：

针对多光谱红外图像序列中未知光谱辐射强度、位置和速度的弱小运动目标检测问题，建立与之相应的框架模型，对于这种含参信号的复合假设检验，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．采用人工合成的多光谱红外图像序列对其进行测试，评估该算法的有效性，结果说明，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．

英文摘要：

The scope of this paper addresses the problem of detecting a subpixel moving target from a sequence of multispectral IR cubes. In this work, the detection problem is formulated in a general framework, assuming unknown target amplitude, position and velocity. This composite hypothesis testing problem is approached by means of the generalized likelihood ratio test （GLRT） theory. The detector structure and its actual implemen- tation based on velocity filters are discussed in detail. To test the effectiveness of the detection algorithm, the detection results obtained on a set of synthetic muhispectral IR image sequences are presented and discussed, and these results indicate that the algorithm proposed can obtain a good performance on dim target detection with low SNR.