DocumentCode :
3677553
Title :
A novel method for multi-targets ISAR imaging
Author :
Lei Liu;Feng Zhou;Yongqiang Guo;Mingliang Tao;Pange Sun;Zijing Zhang
Author_Institution :
National Laboratory of Radar Signal Processing, Xidian University, Xi´an, China
fYear :
2015
Firstpage :
314
Lastpage :
319
Abstract :
A novel multi-targets ISAR imaging method based on particle swarm optimization (PSO) and modified CLEAN technique is proposed in this paper. First, multi-targets are modeled as several separated group-targets in which translational motion of each target is analogous. And then, translational motion of each group-target is modeled as a polynomial, and the polynomial coefficient is estimated via PSO. Then focused image of the group-target can be obtained and extracted via a modified CLEAN technique. Meanwhile, each target can be segmented and extracted based on clustering number estimation and K-means clustering algorithm. Finally, better focused image of each target would be obtained through further traditional mono-target imaging processing. Experimental results verify the validity of the proposed method.
Keywords :
"Imaging","Polynomials","Estimation","Acceleration","Discrete Fourier transforms","Image segmentation","Radar imaging"
Publisher :
ieee
Conference_Titel :
Synthetic Aperture Radar (APSAR), 2015 IEEE 5th Asia-Pacific Conference on
Type :
conf
DOI :
10.1109/APSAR.2015.7306216
Filename :
7306216
Link To Document :
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