• DocumentCode
    1462496
  • Title

    Cross-range scaling for ISAR via optical flow analysis

  • Author

    Yeh, Chun-mao ; Xu, Jia ; Peng, Ying-Ning ; Wang, Xiu-Tan ; Yan, Jian ; Xia, Xiang-Gen

  • Author_Institution
    Tsinghua Univ., Beijing, China
  • Volume
    27
  • Issue
    2
  • fYear
    2012
  • Firstpage
    14
  • Lastpage
    22
  • Abstract
    For high resolution imaging applications, ISAR can be viewed as a kind of camera which linearly maps the scattering centers from the physical plane to the RD image plane. Thus, the concept and methods of optical flow in computer vision may be introduced for the rotation estimation in ISAR. Furthermore, three kinds of optical flow analysis-based estimators, namely triangle-based, line-based, and image rotation correlation-based estimators, are provided to estimate the coo on the RD image series herein. Because the RD image series is a common output of conventional ISAR and only the scattering center operators are used, the proposed optical flow-based method may also be computationally efficient. Besides, with the increase of scattering centers and images, the high accuracy of cross-range scaling can also be guaranteed. Finally, experimental results are provided to demonstrate the effectiveness of proposed methods based on some measured data of Yak airplane.
  • Keywords
    computer vision; correlation methods; image resolution; image sequences; radar imaging; synthetic aperture radar; ISAR; RD image plane; RD image series; Yak airplane; computer vision; high resolution imaging applications; image rotation correlation-based estimator; optical flow analysis-based estimator; physical plane; rotation estimation; scattering center operator; triangle-based line-based estimator; Computational efficiency; Computer vision; Image motion analysis; Optical computing; Optical imaging; Optical scattering; Scattering parameters; Synthetic aperture radar;
  • fLanguage
    English
  • Journal_Title
    Aerospace and Electronic Systems Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    0885-8985
  • Type

    jour

  • DOI
    10.1109/MAES.2012.6163609
  • Filename
    6163609