APPLYING SUPER RESOLUTION TECHNIQUES FOR OBJECTS RECOGNITION IN RADAR

摘要：

Super resolution is a process to improve the resolution of an imaging system. Super resolution techniques can help in detection and recognition of objects of interest. A review of super resolution techniques applied to the radar technology is presented. The well-known super resolution algorithms, Matrix inverse, Minimum mean square error and Singular value decomposition are investigated. We observed that Minimum mean square error better recognize the targets under different conditions. Simulation results provide the assessment of discussed super resolution algorithms for the imaging model.

关键词： Super resolution Object recognition Point spread function

作者: Shahryar Shafique Qureshi Xueming Li Toufeeq Ahmad

作者单位: Beijing Key Laboratory of Network System and Network Culture Beijing University of Posts and Telecommunications, Beijing 100876, China

会议类型: 国际会议

会议名称: 2011 4th IEEE International Conference on Broadband Network & Multimedia Technology(第四届IEEE宽带网络与多媒体国际会议 4th IEEE IC-BNMT2011)

会议地点: 深圳

会议语种:英文

页码: 483-487

在线出版日期: 2011-10-28（万方平台首次上网日期，不代表论文的发表时间）