DocumentCode
3414205
Title
3-D geometric feature extraction of vehicle target from 2-D high resolution SAR imagery based on shadow information
Author
Kefeng, Ji ; Xiangwei, Xing ; Huanxin, Zou ; Renjie, Li
Author_Institution
Coll. of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha, China
Volume
2
fYear
2011
fDate
24-27 Oct. 2011
Firstpage
1582
Lastpage
1585
Abstract
A novel method of 3-D geometric feature extraction of vehicle target based on the fusion of the shadow information from a very few (just 3 to 5) 2-D high resolution SAR imagery with different azimuth is proposed in this paper. And the validity of the proposed method has been proven by a large number of experimental results using MSTAR measured SAR imagery.
Keywords
feature extraction; geometry; image resolution; radar imaging; radar resolution; radar tracking; synthetic aperture radar; target tracking; 2D high resolution SAR imagery; 3D geometric feature extraction; MSTAR measured SAR imagery; azimuth; shadow information; synthetic aperture radar; vehicle target; Accuracy; Azimuth; Data mining; Feature extraction; Image resolution; Target recognition; Vehicles; Feature Extraction; Synthetic Aperture Radar Imagery; Target Shadow; Three-dimensional Geometric Feature;
fLanguage
English
Publisher
ieee
Conference_Titel
Radar (Radar), 2011 IEEE CIE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-8444-7
Type
conf
DOI
10.1109/CIE-Radar.2011.6159866
Filename
6159866
Link To Document