TY - GEN
T1 - GRECO Based Fast Prediction of 3D Radar Images for Complex Targets
AU - Gong, Ningbo
AU - Xu, Xiaojian
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/12/20
Y1 - 2017/12/20
N2 - In a previous work, model based automatic target recognition (ATR) from synthetic aperture radar (SAR) images is implemented through matching between the three-dimensional (3D) hot scattering point images (HSPI) and the 3D back projection scattering images (BPSI), where HSPI is generated from 3D model, while BPSI is formed from SAR images projecting onto a 3D target geometrical model. A technique for fast prediction of 3D radar images for complex targets is proposed, based on the hidden-surface removal capabilities of the graphics hardware. Graphical electromagnetic computing (GRECO) is used for electromagnetic (EM) calculation and 3D HSPI generation. 3D BPSI is simulated using the graphical processing and back projection. Experimental results are presented to demonstrate the useful of the proposed technique.
AB - In a previous work, model based automatic target recognition (ATR) from synthetic aperture radar (SAR) images is implemented through matching between the three-dimensional (3D) hot scattering point images (HSPI) and the 3D back projection scattering images (BPSI), where HSPI is generated from 3D model, while BPSI is formed from SAR images projecting onto a 3D target geometrical model. A technique for fast prediction of 3D radar images for complex targets is proposed, based on the hidden-surface removal capabilities of the graphics hardware. Graphical electromagnetic computing (GRECO) is used for electromagnetic (EM) calculation and 3D HSPI generation. 3D BPSI is simulated using the graphical processing and back projection. Experimental results are presented to demonstrate the useful of the proposed technique.
KW - Graphical electromagnetic computing (GRECO)
KW - physical optics
KW - radar image
KW - synthetic aperture radar (SAR)
UR - https://www.scopus.com/pages/publications/85047453789
U2 - 10.1109/SSPD.2017.8233235
DO - 10.1109/SSPD.2017.8233235
M3 - 会议稿件
AN - SCOPUS:85047453789
T3 - 2017 Sensor Signal Processing for Defence Conference, SSPD 2017
SP - 1
EP - 5
BT - 2017 Sensor Signal Processing for Defence Conference, SSPD 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th Conference of the Sensor Signal Processing for Defence, SSPD 2017
Y2 - 6 December 2017 through 7 December 2017
ER -