Advanced Search
Volume 31 Issue 1
Dec.  2010
Turn off MathJax
Article Contents
Jin Tian, Zhou Zhi-min. A Novel Feature Extraction Method for Unexploded Ordnance in Ultra-Wideband SAR[J]. Journal of Electronics & Information Technology, 2009, 31(1): 169-172. doi: 10.3724/SP.J.1146.2007.01107
Citation: Jin Tian, Zhou Zhi-min. A Novel Feature Extraction Method for Unexploded Ordnance in Ultra-Wideband SAR[J]. Journal of Electronics & Information Technology, 2009, 31(1): 169-172. doi: 10.3724/SP.J.1146.2007.01107

A Novel Feature Extraction Method for Unexploded Ordnance in Ultra-Wideband SAR

doi: 10.3724/SP.J.1146.2007.01107
  • Received Date: 2007-07-02
  • Rev Recd Date: 2007-11-22
  • Publish Date: 2009-01-19
  • Ultra-WideBand Synthetic Aperture Radar (UWB SAR) can detect shallow buried UneXploded Ordnance (UXO), where the efficiency of extracted features determines the detection performance. The traditional subband-subaperture processing extracts the frequency and aspect information of UXO scattering with sacrifice of spatial resolutions. According to the issue, in this paper, the frequency and aspect angle features extraction method is proposed on the Space-Wavenumber Distribution (SWD), which is combined with the moment invariants to obtain the shift- and rotation-invariant feature set. The proposed feature set contains not only the frequency and aspect information but also high spatial resolutions information. Field data processing results show that the proposed features in this paper can improve the UXO detection performance efficiently.
  • loading
  • Morikawa M, Taylor S, and Persons M. Deaths and injuriesdue to unexploded ordnance (UXO) in northern Lao PDR(Laos)[J].Injury.1998, 29(4):301-304[2]Billings S D. Discrimination and classification of buriedunexploded ordnance using magnetometry[J].IEEE Trans. onGeoscience and Remote Sensing.2004, 42(6):1241-1251[3]Marr B, Torrione P, and Miller J, et al.. Parameterizedlikelihood ratio method for EMI unexploded detection[J].Proceeding of SPIE.2004, 5415:843-854[4]Zhang Y, Collins L, and Carin L. Physics model basedunexploded ordnance discrimination using wideband EMIdata[J].Proceeding of SPIE.2003, 5089:1023-1034[5]Carin L, Geng N, and McClure M, et al.. Wide-area detectionof land mines and unexploded ordnance[J].Inverse Problems.2002, 18(3):575-609[6]Dong Y, Runkle P R, and Carin L, et al.. Multi-aspectdetection of surface and shallow-buried unexploded ordnancevia ultra-wideband synthetic aperture radar[J].IEEE Trans. onGeoscience and Remote Sensing.2001, 39(6):1259-1270[7]Jin T, Zhou Z, and Chang W. Ultra-wideband SARtime-frequency representation image formation[J].IEEProceedings: Radar, Sonar and Navigation.2006, 153(5):389-395[8]Jin T, Zhou Z M, and Chang W G, et al.. Aspect-invariantfeature extraction and associated landmine detector in UWBSAR. CIE International Conference on Radar, Shanghai,China, 2006: 607-610.[9]Hu M K. Visual pattern recognition by moment invariants.IRE Trans. Information Theory, 1962, 8(2): 179-187.[10]Gonzalez R C and Woods R E. Digital Image Processing.Second Edition, Englewood Cliffs, NJ: Prentice Hall, 2002,ch.11.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (3042) PDF downloads(870) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return