Measurement Error Analysis for Image Processing of AutomaticTarget Recognition
Providing an exact target miss distance value is the goal of automatic target recognition system. Realtime correction of target miss distance is always introduced. The values of miss distance are the control parameters of platform servo system. Thus the miss distance needs to be stable. Three key measurement error sources of automatic target recognition image processing are analyzed. There are segmentation errors, feature measurements errors and tracking errors. The causes of different errors are discussed in this paper. The influence of the errors on outputting of miss distance is analyzed. The goal of image error analysis is to reduce the errors. Finally, some methods for reducing error are presented.
measurements error error analysis image segmentation
Yang Bai Chao Wang Qun Wei Hongguang Jia Lihong Guo
Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences Changchun 130 Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences Changchun 130
国际会议
2010 International Conference on Circuit and Signal Processing(2010年电路与信号处理国际会议 ICCSP 2010)
上海
英文
588-591
2010-12-25(万方平台首次上网日期,不代表论文的发表时间)