• DocumentCode
    3023608
  • Title

    An efficient evaluation scheme for remote sensing images

  • Author

    Fang Ming ; Ji Shuang ; Wang Cheng ; Yin Dali

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Changchun Univ. of Sci. & Technol., Changchun, China
  • fYear
    2013
  • fDate
    20-22 Dec. 2013
  • Firstpage
    1208
  • Lastpage
    1211
  • Abstract
    During image post processing, the restoration operation is required to increase the quality of the image. According to traditional evaluation methods, the evaluated object is the whole image. Obviously, some image details are not favorable for quality evaluation, unfortunately, these maybe cause evaluation error. Furthermore, it is inefficient because of lots of computation for entire image. In this paper, we puts forward using a specified region of interest (ROI) to evaluate the image quality instead of whole image. The experimental results show that, the selection method of the specified ROI is effective, and the evaluation result is consistent with the objective evaluation of entire image.
  • Keywords
    image restoration; remote sensing; ROI; evaluation scheme; image quality; image restoration operation; remote sensing image; specified region-of-interest; Computer science; Educational institutions; Image edge detection; Image quality; Image restoration; Noise; Remote sensing; Evaluation; Image Restoration; Laplace operator; MTF; Remote sensing image;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on
  • Conference_Location
    Shengyang
  • Print_ISBN
    978-1-4799-2564-3
  • Type

    conf

  • DOI
    10.1109/MEC.2013.6885250
  • Filename
    6885250