一种双/多波段红外目标融合检测方法

针对双/多波段红外目标检测问题，提出了一种基于自适应加权投票融合准则的红外目标融合检测方法。该方法首先对双/多波段红外传感器进行图像配准，然后对单传感器红外图像进行处理，得到单传感器目标检测结果，最后使用提出的自适应加权投票融合准则，对单传感器目标检测结果进行融合，得到最终判决。实验结果显示，该算法能在较大程度上降低目标检测过程中的不确定性，从而提高了系统的检测性能，同单波段检测结果和其他的融合结果相比，该方法能有效地降低漏警概率和虚警概率；并且该方法易于实现，并在实际工程中得到了应用。

Method for dual-/multi-band IR target fusion detection

Aiming at the problem of dual-/multi-band IR Target Fusion Detection,a method of IR Target Fusion Detection is proposed.In this method,image registration is done at first to match dual or multi IR images in the same scene,then the method integrates the target detection results in dual or multi IR images using the proposed adaptive weighted voting theory.The experimental results show that the proposed method can reduce the uncertainty during the target detection to a large degree,and improve the target detection performance of the whole system.Compared with the signal band detection results and the others fusion detection methods,it can decrease the missing alarm rate and the false alarm rate effectively.The proposed method is easy to be used in various applications.