• DocumentCode
    2189341
  • Title

    Binocular image dominant mechanism

  • Author

    Jing-Jing Ge ; Zhao-Rong Lin ; Da-Kai Zhu

  • Author_Institution
    Beijing Inst. of Space Mech. & Electr., Beijing, China
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    4367
  • Lastpage
    4370
  • Abstract
    To improve the resolution and identification of remote sensing, a system has been established to obtain human binocular image dominant mechanism. The influence of binocular vision on the neural contrast sensitivity function (NCSF) of vision system is studied with a calculation method. The contrast sensitivity function (CSF) of visual system and modulation transfer function (MTF) of the eye´s optical system are firstly measured with correspondent instruments respectively. Then the NCSF is calculated as the ratio of CSF and MTF. Two individual human are involved in this study. It is shown that the resolution and identification of binocular summation is large better than that of monocular results. The dominant eye that takes precedence has no relationship with the quality of the eye´s optical system.
  • Keywords
    eye; image resolution; optical transfer function; optical variables measurement; remote sensing; telescopes; MTF; NCSF; binocular image dominant mechanism; binocular summation; binocular vision; eye quality; image quality; image resolution; image vision system; modulation transfer function; monocular; neural contrast sensitivity function; optical system; remote sensing identification; Adaptive optics; Humans; Optical imaging; Optical sensors; Optical variables measurement; Remote sensing; Sensitivity; binocular summation; dominant eye; neural contrast sensitivity function;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6350406
  • Filename
    6350406