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, 建立了与之相应的基本框架模型.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, 采用人工合成的多光谱红外图像序列对其进行测试, 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.

The scope of this paper addressed the problem of detecting a dim moving target from a sequence of multispectral IR cubes. The detection problem was formulated in a general framework, assuming unknown target amplitude, position and velocity. This 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 simulation. To test the effectiveness of the detection algorithm, the detection results obtained on a set of synthetic multispectral IR image sequences were presented and discussed. These results indicate that the algorithm proposed can obtain a good performance on dim target detection with low SNR.