An Infrared Small and Dim Target Detection Algorithm Based on the Mask Image

摘要：

To overcome the affection of heavy clutter and dim target intensity on small target detection, a novel background prediction method is proposed. By combining the mask image and morphological filters, this method can predict the background more precisely and reduce background processing time. Finally, in terms of target detection rates and the procession time per frame, the performance comparison between the proposed method and the Top-hat filtering method is given. The experimental results indicate that this method can enhance the predicted accuracy of background, even in the low SNR (signal-to-noise rate), and is a more preferable and effective way to detect infrared small and dim targets.

关键词： mask image background prediction small and dim target target detection.

作者: Yao Yunping Zhang Wei Duan Chang

作者单位: University of Electronic Science and Technology of China,Chengdu 611731,China

会议类型: 国际会议

会议名称: 2011 10th International Conference on Electronic Measurement & Instruments(第十届电子测量与仪器国际会议 ICEMI2011)

会议地点: 成都

会议语种:英文

页码: 1326-1330

在线出版日期: 2011-08-16（万方平台首次上网日期，不代表论文的发表时间）