GEOMETRIC CHARACTERIZATION OF A TARGET ABOVE THE HALF-SPACE INTERFACE USING SUPPORT VECTOR MACHINE

Chao Li; Si-Yuan He; Guo-Qing Yin; Guo-Qiang Zhu

Research.Publish.Connect.

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Name:
Country:
Subject:

Advanced Search Affiliations Search

If you're looking for an exact phrase use quotation marks on text fields.

Proceedings

Proceedings Search

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Papers

Papers Search

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Authors

Authors Search

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Advanced Search

Paper

GEOMETRIC CHARACTERIZATION OF A TARGET ABOVE THE HALF-SPACE INTERFACE USING SUPPORT VECTOR MACHINE

In Proceedings of the International Conference on Evolutionary Computation Theory and Applications - Volume 0IJCCI, 352-355, 2011 , Paris, France

Authors: Chao Li ; Si-Yuan He ; Guo-Qing Yin and Guo-Qiang Zhu

Affiliation: School of Electronic Information and Wuhan University, China

Keyword(s): Support Vector Machine, Inverse Scattering, Composite Model, Multilevel UV Method.

Abstract: The geometric parameters of a electrically large square above a rough surface are reconstructed by means of support vector machine (SVM). The SVM input data are the amplitude of backscattered electric fields obtained from the accurate and efficient EM numerical simulation. The aim of our research is to reconstruct the geometric information while using computational resources as reduced as possible. Therefore, how the spatial and frequency diversity affect the reconstruction is analysed with respect to the characteristics of the scattered fields. Numerical experiments show that it is feasible to get an accurate reconstruction result with the backscattered multi-frequency data collected at just a few observation points which are specially selected based on scattering characteristics.

CC BY-NC-ND 4.0

Guest: Register as new SciTePress user now for free.

SciTePress user: please login.

My Papers

You are not signed in, therefore limits apply to your IP address 18.118.205.186

In the current month:

Recent papers: 100 available of 100 total

2⁺ years older papers: 200 available of 200 total

Paper citation in several formats:

Li, C.; He, S.; Yin, G. and Zhu, G. (2011). GEOMETRIC CHARACTERIZATION OF A TARGET ABOVE THE HALF-SPACE INTERFACE USING SUPPORT VECTOR MACHINE . In Proceedings of the International Conference on Evolutionary Computation Theory and Applications (IJCCI 2011) - ECTA; ISBN 978-989-8425-83-6, SciTePress, pages 352-355. DOI: 10.5220/0003722403520355

@conference{ecta11,
author={Chao Li. and Si{-}Yuan He. and Guo{-}Qing Yin. and Guo{-}Qiang Zhu.},
title={GEOMETRIC CHARACTERIZATION OF A TARGET ABOVE THE HALF-SPACE INTERFACE USING SUPPORT VECTOR MACHINE },
booktitle={Proceedings of the International Conference on Evolutionary Computation Theory and Applications (IJCCI 2011) - ECTA},
year={2011},
pages={352-355},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003722403520355},
isbn={978-989-8425-83-6},
}

TY - CONF

JO - Proceedings of the International Conference on Evolutionary Computation Theory and Applications (IJCCI 2011) - ECTA
TI - GEOMETRIC CHARACTERIZATION OF A TARGET ABOVE THE HALF-SPACE INTERFACE USING SUPPORT VECTOR MACHINE
SN - 978-989-8425-83-6
AU - Li, C.
AU - He, S.
AU - Yin, G.
AU - Zhu, G.
PY - 2011
SP - 352
EP - 355
DO - 10.5220/0003722403520355
PB - SciTePress