• DocumentCode
    561671
  • Title

    Efficient construction of training database for identification of aircraft ISAR images

  • Author

    Choi, G.-G. ; Han, S.-K. ; Kim, K.-T.

  • Author_Institution
    Dept. of Electr. Eng., Pohang Univ. of Sci. & Technol., Pohang, South Korea
  • Volume
    1
  • fYear
    2011
  • fDate
    24-27 Oct. 2011
  • Firstpage
    520
  • Lastpage
    523
  • Abstract
    This paper presents a new paradigm for classification of aircraft inverse synthetic aperture radar (ISAR) images. A database for identification is efficiently constructed using various 3-D aircraft flight scenarios. Simulation results demonstrate that this method can reduce the memory space for target identification significantly compared to the conventional methodology while maintaining reliable identification performance.
  • Keywords
    airborne radar; aircraft; image classification; radar imaging; radar tracking; synthetic aperture radar; target tracking; 3D aircraft flight; ISAR image classification; aircraft ISAR image identification; aircraft inverse synthetic aperture radar image classification; identification performance; memory space reduction; target identification; training database; Mercury (metals); Inverse Synthetic Aperture Radar (ISAR); Target Classification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar (Radar), 2011 IEEE CIE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-8444-7
  • Type

    conf

  • DOI
    10.1109/CIE-Radar.2011.6159593
  • Filename
    6159593