Target classification system based on the characterization of targets by subspaces

摘要：

This paper presents a novel classification technique based on targets bistatic backscattering coefficients acquired at low frequencies. Each target class is characterized by a subspace. Air targets are then classified based on geometrical classification criteria. An average recognition rate of 90％ is achieved.

作者: Jonathan Pisane Marc Lesturgie Jacques Verly

作者单位: Dept. of Electrical Engineering & Computer Science, University of Liège, Grande Traverse 10, B-4000 SONDRA, SUPELEC, Rue Joliot-Curie 3, 91192 Gif-sur-Yvette, France Dept. of Electrical Engineering & Computer Science, University of Liège, Grande Traverse 10, B-4000

会议类型: 国际会议

会议名称: 2011 IEEE CIE International Conference on Radar(2011年IEEE国际雷达会议RADAR 2011)

会议地点: 成都

会议语种:英文

页码: 621-625

在线出版日期: 2011-10-24（万方平台首次上网日期，不代表论文的发表时间）