摘要
根据深空背景的特点,提出了采用最大中值滤波降噪,基于USAN原则,即吸收同值核区(Univalue Seg-ment Assimilating Nucleus)原则进行弱小目标检测的算法。其中分析了USAN滤波模板大小对检测性能的影响,探讨了灰度差门限的自适应选取方法,并根据目标和背景杂波在灰度分布上的差异,进一步剔除背景杂波的残留。结合候选目标的特征,采用基于逻辑的最近邻关联方法提取目标航迹。
A real-time dim target detection algorithm in large field and deep sky was presented that adopted USAN filtering following depressing noise using Max-Mean filter. Influence of the size of USAN filter to the performance of detection and the selecting of the threshold of gray difference was analyzed. The leaving of the background clutter was eliminated by the gray distribution difference of target and background clutter, An algorithm of track initiation and data association based on logic principle and the characterisfic of target was presented.
出处
《光学技术》
CAS
CSCD
北大核心
2006年第1期134-137,140,共5页
Optical Technique
