红外小目标检测中的Bayes估计器背景抑制方法

Bayes Estimator Background Suppression Method for Infrared Small Target Detection

针对红外小目标检测中的背景抑制问题,提出一种新的方法。利用分布图法和Bayes估计器根据有限帧图像估计出当前取景框的"纯背景",将各图与背景图运算得到只含有目标和少数噪声点的图像,对图像进行分割和目标判别,可有效抑制图像中的起伏背景,降低后期处理的错误率。实验验证了该方法的有效性。

According to the background suppression issue in infrared small target detection, a new method isput forward. The pure background of current viewing frame is estimated through the methods of distribution imageand Bayes estimator based on the finite frame image. The images only containing targets and a few noise points areobtained through calculating each image and background images. The images are segmented and distinguished tosuppress effectively the fluctuation background in images so that the error rate of post-processing is reduced. The ef-fectiveness of the method is proved by experiments.