• DocumentCode
    2994632
  • Title

    Research on CUDA-Based SIFT Registration of SAR Image

  • Author

    Huang, Yang ; Liu, Jinshuo ; Tu, Meisheng ; Li, Siyuan ; Deng, Juan

  • Author_Institution
    Comput. Sch., Wuhan Univ., Wuhan, China
  • fYear
    2011
  • fDate
    9-11 Dec. 2011
  • Firstpage
    100
  • Lastpage
    104
  • Abstract
    This paper proposes an implementation and optimization of SIFT algorithm for SAR (Synthetic Aperture Radar) images. It improves the SIFT algorithm efficiency using the graphics processing unit (GPU) architecture based on Compute Unified Device Architecture (CUDA) framework, to attend the request of real-time remote sensing image processing. The experiments of large-size SAR image demonstrate that the algorithms achieve 57.8 times speedup.
  • Keywords
    graphics processing units; image registration; parallel architectures; radar computing; radar imaging; remote sensing by radar; synthetic aperture radar; CUDA; SAR image registration; SIFT algorithm; compute unified device architecture; graphics processing unit; real-time remote sensing image processing; scale invariant feature transform; synthetic aperture radar; Algorithm design and analysis; Computer architecture; Feature extraction; Graphics processing unit; Image registration; Instruction sets; Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel Architectures, Algorithms and Programming (PAAP), 2011 Fourth International Symposium on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4577-1808-3
  • Type

    conf

  • DOI
    10.1109/PAAP.2011.21
  • Filename
    6128484