Title :
An improved algorithm for the detection of vehicle group targets in high-resolution SAR images
Author :
Zhoufeng, Liu ; Qingwei, Ping ; Peikun, He
Author_Institution :
Dept. of Electron. Eng., Beijing Inst. of Technol., China
Abstract :
In this paper, the detection of vehicle group targets in high-resolution SAR images has been investigated. Theoretical analysis has been carried out by statistical methods and the formulas of threshold and parameter estimations of three detection algorithms are obtained. The results show that global parameter estimation is of good effect and there are more false alarms in conventional two-parameter CFAR and single look standard CFAR detection algorithms. We present an improved multi-look de-speckling CFAR detection algorithm, which shows exact target detection, little false alarm and clear target details. The parameter selection and optimal parameters are also given.
Keywords :
military radar; parameter estimation; radar detection; radar imaging; radar target recognition; radar tracking; statistical analysis; surveillance; synthetic aperture radar; constant false alarm ratio; detection algorithms; exact target detection; false alarms; global parameter estimation; high-resolution SAR images; military surveillance; multi-look de-speckling CFAR detection algorithm; optimal parameters; parameter estimations; parameter selection; single look standard CFAR detection algorithms; statistical methods; target details; threshold estimations; two-parameter CFAR detection algorithms; vehicle group target detection algorithm; Detection algorithms; Humans; Object detection; Parameter estimation; Radar detection; Radar imaging; Statistical analysis; Synthetic aperture radar; Target recognition; Vehicle detection;
Conference_Titel :
Microwave and Millimeter Wave Technology, 2002. Proceedings. ICMMT 2002. 2002 3rd International Conference on
Print_ISBN :
0-7803-7486-X
DOI :
10.1109/ICMMT.2002.1187764
