GRECO Based Fast Prediction of 3D Radar Images for Complex Targets

Ningbo Gong; Xiaojian Xu

doi:10.1109/SSPD.2017.8233235

GRECO Based Fast Prediction of 3D Radar Images for Complex Targets

Ningbo Gong
, Xiaojian Xu

School of Electronic and Information Engineering

Beihang University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

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.

Original language	English
Title of host publication	2017 Sensor Signal Processing for Defence Conference, SSPD 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-5
Number of pages	5
ISBN (Electronic)	9781538616635
DOIs	https://doi.org/10.1109/SSPD.2017.8233235
State	Published - 20 Dec 2017
Event	7th Conference of the Sensor Signal Processing for Defence, SSPD 2017 - London, United Kingdom Duration: 6 Dec 2017 → 7 Dec 2017

Publication series

Name	2017 Sensor Signal Processing for Defence Conference, SSPD 2017
Volume	2017-January

Conference

Conference	7th Conference of the Sensor Signal Processing for Defence, SSPD 2017
Country/Territory	United Kingdom
City	London
Period	6/12/17 → 7/12/17

Keywords

Graphical electromagnetic computing (GRECO)
physical optics
radar image
synthetic aperture radar (SAR)

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10.1109/SSPD.2017.8233235

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@inproceedings{c4456b6c53934f95b1ecdf9188ff936f,

title = "GRECO Based Fast Prediction of 3D Radar Images for Complex Targets",

abstract = "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.",

keywords = "Graphical electromagnetic computing (GRECO), physical optics, radar image, synthetic aperture radar (SAR)",

author = "Ningbo Gong and Xiaojian Xu",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 7th Conference of the Sensor Signal Processing for Defence, SSPD 2017 ; Conference date: 06-12-2017 Through 07-12-2017",

year = "2017",

month = dec,

day = "20",

doi = "10.1109/SSPD.2017.8233235",

language = "英语",

series = "2017 Sensor Signal Processing for Defence Conference, SSPD 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1--5",

booktitle = "2017 Sensor Signal Processing for Defence Conference, SSPD 2017",

address = "美国",

}

Gong, N & Xu, X 2017, GRECO Based Fast Prediction of 3D Radar Images for Complex Targets. in 2017 Sensor Signal Processing for Defence Conference, SSPD 2017. 2017 Sensor Signal Processing for Defence Conference, SSPD 2017, vol. 2017-January, Institute of Electrical and Electronics Engineers Inc., pp. 1-5, 7th Conference of the Sensor Signal Processing for Defence, SSPD 2017, London, United Kingdom, 6/12/17. https://doi.org/10.1109/SSPD.2017.8233235

GRECO Based Fast Prediction of 3D Radar Images for Complex Targets. / Gong, Ningbo; Xu, Xiaojian.
2017 Sensor Signal Processing for Defence Conference, SSPD 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1-5 (2017 Sensor Signal Processing for Defence Conference, SSPD 2017; Vol. 2017-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - GRECO Based Fast Prediction of 3D Radar Images for Complex Targets

AU - Gong, Ningbo

AU - Xu, Xiaojian

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)

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DO - 10.1109/SSPD.2017.8233235

M3 - 会议稿件

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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 -

GRECO Based Fast Prediction of 3D Radar Images for Complex Targets

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