Title :
Applying super resolution techniques for objects recognition in radar
Author :
Qureshi, Shahryar Shafique ; Li, Xueming ; Ahmad, Toufeeq
Author_Institution :
Beijing Key Lab. of Network Syst. & Network Culture, Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
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.
Keywords :
image recognition; inverse problems; matrix algebra; mean square error methods; object detection; radar imaging; singular value decomposition; imaging system; matrix inverse; minimum mean square error; object detection; object recognition; radar technology; singular value decomposition; super resolution techniques; Image resolution; Imaging; Mean square error methods; Radar imaging; Signal resolution; Signal to noise ratio; Object recognition; Point spread function; Super resolution;
Conference_Titel :
Broadband Network and Multimedia Technology (IC-BNMT), 2011 4th IEEE International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-61284-158-8
DOI :
10.1109/ICBNMT.2011.6155981
