Performance Evaluation for ATR System Based on Backward Cloud with Less Samples

摘要：

In the recent years,as the development of automatic target recognition (ATR)technology,the performance evaluation for it becomes more and more important.In order to solve the problems of needing artificial intervene and needing too many samples in the existent evaluation methods,we proposed a new performance evaluation method for ATR System based on the backward cloud.In this method,we use numerical value features which are contained in the recognition result samples to denote the performance of the ATR algorithm, therefore we can do the evaluation without artificial intervene and with much less number of samples compared with other existent ones.At last,the simulation proved the advantages above.

作者: Wang Fang Li Yanpeng Li Xiang

作者单位: School of Electronic Science and Engineering NUDT,Changsha 410073,China

会议类型: 国际会议

会议名称: 2008 IEEE International Conference on Onformation and Automation(IEEE 信息与自动化国际会议)

会议地点: 张家界

会议语种:英文

页码: 1304-1307

在线出版日期: 2008-06-20（万方平台首次上网日期，不代表论文的发表时间）