• DocumentCode
    2992402
  • Title

    The Design and Analysis Based on NIIRS for Remote Sensing Systems

  • Author

    Bai, Honggang

  • Author_Institution
    Dept. of Basic Courses Eng., Univ. of Armed Police Force, Xi`an, China
  • fYear
    2012
  • fDate
    21-23 May 2012
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    Remote sensing image quality is sensitive to the system design parameters such as modulation transfer function (MTF), signal-to-noise ratio (SNR), and ground sampled distance (GSD). In this paper, two concepts about NIIRS and optical Q are presented, and each part physics means in model and formula are illustrated separately, then three influencing factor of sampling rate, pixels of smear, and SNR for the image quality are specific analyzed by simulating and comparing, finally, the optimum design of remote sensors are discussed, and the method to improve the image quality scale is posed for remote sensing systems. Comparisons with preliminary calculation results show that image quality scale of remote sensing systems can be improved by increasing along-scan sampling although more validation experiments are needed.
  • Keywords
    geophysical image processing; remote sensing; NIIRS; National Imagery Interpretability Rating Scale; along-scan sampling; ground sampled distance; image quality scale; modulation transfer function; optical Q; remote sensing image quality; remote sensing systems; remote sensor optimum design; sampling rate; signal-to-noise ratio; smear pixels; system design parameters; Image quality; Optical diffraction; Optical imaging; Optical sensors; Remote sensing; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Photonics and Optoelectronics (SOPO), 2012 Symposium on
  • Conference_Location
    Shanghai
  • ISSN
    2156-8464
  • Print_ISBN
    978-1-4577-0909-8
  • Type

    conf

  • DOI
    10.1109/SOPO.2012.6270433
  • Filename
    6270433