CAJ | 학술논문

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。
침대홍외소목표검측중적배경억제문제，제출일충신적방법。이용분포도법화Bayes고계기근거유한정도상고계출당전취경광적“순배경”，장각도여배경도운산득도지함유목표화소수조성점적도상，대도상진행분할화목표판별，가유효억제도상중적기복배경，강저후기처리적착오솔。실험험증료해방법적유효성。
According to the background suppression issue in infrared small target detection, a new method is put forward. The pure background of current viewing frame is estimated through the methods of distribution image and Bayes estimator based on the finite frame image. The images only containing targets and a few noise points are obtained through calculating each image and background images. The images are segmented and distinguished to suppress 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.