期刊文献+
任意字段
题名或关键词
题名
关键词
文摘
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息

一种基于空间-波数分布的超宽带SAR地雷目标特征提取新方法 被引量：2

在线阅读 下载PDF
导出
摘要 利用车载或机载的超宽带SAR进行快速大区域地雷或雷场探测是探雷的发展方向．目前制约超宽带SAR探雷实用化的主要问题是虚警太高．文中从超宽带SAR回波和成像模型出发,提出了基于空间-波数分布的超宽带SAR目标特性斜距-方位-频率-角度四维空间表示方法,能够提取地雷目标不同频率和不同方位角的电磁特征．为了降低特征维数,利用分支定界方法进行特征选择,最后确定频率为1．1 GHz,方位角分别为-14°,-7°,0°,7°和14°时的目标一维斜距像作为特征向量．基于提取的特征,利用支持向量机(SVM)对Rail-GPSAR系统实测数据进行处理．处理结果表明,文中提取的特征及其SVM检测器能实现检测概率0．9时,虚警小于0．01 m2,达到实用要求．
作者 金添 周智敏 宋千
机构地区 国防科学技术大学电子科学与工程学院
出处 《自然科学进展》 北大核心 2007年第1期114-121,共8页
关键词 超宽带 合成孔径雷达 地雷探测 空间-波数分布 特征提取
分类号 TN92 [电子电信—通信与信息系统]
  • 相关文献

参考文献19

  • 1Sun Y, Li J. Time-frequency analysis for plastic landmine detection via forward-looking ground penetrating radar. IEE Proc Radar Sonar Navig, 2003, 150(4) : 253-261.
  • 2Carin L, Geng N, McClure M, et al. Wide-area detection of land mines and unexploded ordnance. Inverse Problems, 2002,18(3): 575-609.
  • 3Vickers RS. Design and applications of airborne radars in the VHF/UHF band, IEEE Aerospace and Electronic Systems Magazine, 2002, 17(6): 26-29.
  • 4Kositsky J, Amazeen C. Results from a forward-looking GPR mine detection system, In: Dubey AC, Harvey JF, Broach JT, eds. Proceeding of Detection and Remediation Technologies for Mines and Minelike Targets VI. Orlando, FL, USA,2001. Washington.. SPIE, 2001, 700-711.
  • 5Andrieu J, Gallais F, Mallepeyre V, et al. Land mine detection with an ultra-widehand SAR system. In: Broach JT, Harmon RS, Doheck GJ, eds. Proceeding of Detection and Remediation Technologies for Mines and Minelike Targets Ⅶ. Orlando,FL, USA, 2002. Washington: SPIE, 2002, 237-247.
  • 6Nguyen L, Kappra K, Wong D, et al. A mine field detectionalgorithm utilizing data from uhra-wideband wide-area surveillance radar. In: Dubey AC, Harvey JF, Broach JT, eds.Proceeding of Detection and Remediation Technologies for mine and minelike targets Ⅲ, FL, USA, 1998. Washington:SPIE, 1998, 627-643.
  • 7Kositsky J, Cosgrove R, Amazeen C, et al. Results form a forward-looking GPR mine detection system. In: Broach JT,Harmon RS, Dobeek GJ, eds. Proceeding of Detection and Remediation Technologies for Mines and Minelike Targets Ⅶ. Orlando, FL, USA, 2002. Washington: SPIE, 2002, 206-217.
  • 8Cosgrove RB, Milanfar P, Kositsky J. Trained detection of buried mines in SAR images via the deflection-optimal criterion.IEEE Trans on Geoscience and Remote Sensing, 2004, 42(11) :2569 2575.
  • 9Jin T, Zhou ZM, Chang WG. Ground penetrating synthetic aperture radar subsurface imaging model and its modified Back-Projection algorithm. In: Liang S, Liu J, Li X, et al, eds. Proceeding of the 9th International Symposium on Physical Measure-ments and Signatures in Remote Sensing, Beijing, China,2005, Istanhuh ISPRS, 2005, 11-13.
  • 10Jin T, Zhou Z, Chang W. Modified wavefront reconstructionimaging formation for stand-off GPEN SAR. Electronics Letters,2005, 41(10): 63-64.

二级参考文献13

  • 1L Carin, R Kapoor, C E Baum. Polarimetric SAR Imaging of Buried Landmines. IEEE trans, on Geo. And Remote Sensing,1998;36(11) : 1985 - 1988.
  • 2Thomas P Montoya, Glenn S Smith. Land Mine Detection Using a Ground-Penetrating Radar Based on Resistively loaded Vee Dipoles. IEEE trans, on AP, 1999;47(12):1795- 1806.
  • 3Abdelhak M Zoubir, Ian James Chant, Christopher L Brown,Braham Barkat, and Canicious Abeynayake.Signal Processing Techniques for Landmine Detection Using Impluse Ground Penetrating Radar. IEEE Sensors Journal, 2002;2(1):41 -51.
  • 4M Ressler. The Army Research Loboratory Ultra-wideband BoomSAR. IGARSS'96:1886 - 1888.
  • 5John W McCorkle. Focusing of Synthetic Aperture Ultra Wideband Data. Proc. IGARSS' 89, Proceedings Vancouveer,1989:1 - 5.
  • 6L M H Ulander, H Hellsten, and G Stenstrom. Synthetic-Aperture Radar Processing Using Fast Factorized Back-Projection. IEEE trans, on AES, 2003;39(3) :760- 776.
  • 7Johansson Erik M, Mast Jeffrey E. Three-dimensional ground penetrating radar imaging using synthetic aperture time-domain focusing. SPIE Conference on Advanced Microwave and Millimeter Wave Detectors. Orlando: SPIE, 1994:205 - 214.
  • 8R Rau, J H McClellan. Analytic models and postprocessing techniques for UWB SAR. IEEE Trans. on AES, 2000;36(4) :1058- 1074.
  • 9Jin Tian, Zhou Zhi-min, Chang Wen-ge. UWBWA SAR Imaging Modeling and Its Time-frequency Processing. in Proc.Seventh International Conference on Signal Processing, Sep.2004, Beijing, China, pp. 1930-1933.
  • 10M Soumekh, D A Nobles, M C Wicks, G J Genello. Signal Processing of Wide Bandwidth and Wide Beamwidth P-3 SAR Data. IEEE Trans. on AES, 2001;37(4) : 1122- 1141.

共引文献4

同被引文献31

  • 1金添,宋千,孙晓坤,周智敏.地表穿透合成孔径雷达浅地表金属地雷二维电磁特征研究[J].电子学报,2006,34(12):2246-2249. 被引量：9
  • 2Morikawa M,Taylor S,Persons M.Deaths and injuries due to unexploded ordnance (UXO) in northern Lao PDR (Laos)[J].Injury,1998,29(4):301-304.
  • 3Marr B,Torrione P,Miller J,et al.Parameterized likelihood ratio method for EMI unexploded ordnance detection[A].In Proceedings of Detection and Remediation Technologies for Mines and Minelike Targets IX[C].Orlando,FL:SPIE,2004.843-854.
  • 4Zhang Y,Collins L,Carin L.Physics model based unexploded ordnance discrimination using wideband EMI data[A].In Proceedings of Detection and Remediation Technologies for Mines and Minelike Targets Ⅷ[C].Orlando,FL:SPIE,2003.1023-1034.
  • 5Andrews A,Ralston J,Tuley M.Research on ground-penetrating radar for detection of mines and unexploded ordnance:current status and research strategy[R].Alexandria,VA:IDA,1999.
  • 6Carin L,Geng N,McClure M,et al.Wide-area detection of land mines and unexploded ordnance[J].Inverse Problems,2002,18(3):575-609.
  • 7Dong Y,Runkle P R,Carin L,et al.Multi-aspect detection of surface and shallow-buried unexploded ordnance via ultra-wideband synthetic aperture radar[J].IEEE Transactions on Geoscience and Remote Sensing,2001,39(6):1259-1270.
  • 8Novak L M,Halversen S D,Owirka G J,et al.Effects of polarization and resolution on SAR ATR[J].IEEE Transactions on Aerospace and Electronic Systems,1997,33(1):102-116.
  • 9Tax D.One-class classification:concept-learning in the absence of counter-examples[D].Deflt Netherlands:Deflt University of Technology,2001.
  • 10Burges C J C.A tutorial on support vector machines for pattern recognition[J].Data Mining and Knowledge Discovery,1998,2(2):121-167.

引证文献2

二级引证文献3

自然科学进展
2007年 第1期

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部