Detecting and Tracking of Small Moving Target in Avian Radar Images

摘要：

A sequence of plane position indicator (PPI) images containing a small moving target is collected using an experimental avian radar surveillance system, which is constructed by modifying a standard marine radar. Smoothing trajectory of a small moving target is separated from the image sequence after background subtraction, clutter suppression, measurements extraction and tracking. The background image is generated by Fast Independent Component Analysis (FastICA). Low segmentation value is set in clutter suppression to improve detecting rate at the cost of introducing a great deal of clutters. Therefore, false alarm rate need to be reduced by tracking. Meanwhile, a modified Hough transform method is applied for track initiation. Monte Carlo data association is proposed for track maintenance and Kalman filtering is adopted for target state prediction and update. Finally, the trajectory is smoothed and then fused with a satellite map for further observation.

关键词： radar tracking FastICA Hough transform data association

作者: Chen Weishi Ning Huansheng Li Jing

作者单位: School of Electronics and Information Engineering, Beihang University Beijing, China Center of Aviation Safety Technology, CAAC Beijing, China

会议类型: 国际会议

会议名称: 2010 International Conference on Image Analysis and Signal Processing(2010 图像分析与信号处理国际会议 IASP 10)

会议地点: 厦门

会议语种:英文

页码: 473-476

在线出版日期: 2010-04-12（万方平台首次上网日期，不代表论文的发表时间）