• DocumentCode
    2943568
  • Title

    Modulation transfer function and noise assessment

  • Author

    Delvit, Jean-Marc ; Léger, Dominique ; Roques, Sylvie ; Valorge, Christophe

  • Author_Institution
    DOTA, ONERA, Toulouse, France
  • Volume
    7
  • fYear
    2003
  • fDate
    21-25 July 2003
  • Firstpage
    4500
  • Abstract
    In the context of Earth observation satellites such as SPOT or IKONOS, it is important to measure the Modulation Transfer Function (MTF) and the noise in order to quantify the quality of the imaging system. This measurement is useful to decide to focus the telescope or to make a deconvolution filter whose purpose is to enhance image contrast. This paper presents a univariant MTF and noise measurement method using non specific views. It is a particular application of a general approach of image quality assessment. The method presented in this paper is based on artificial neural network (ANN) use. The ANN learns how to recognize MTF and noise from known images, and the neural network is able, after a learning step, to assess the MTF and the noise from unknown images.
  • Keywords
    filtering theory; geophysical techniques; image recognition; neural nets; optical noise; optical transfer function; remote sensing; Earth observation satellites; IKONOS; SPOT; artificial neural network; deconvolution filter; filtering theory; image recognition; imaging system; modulation transfer function; noise assessment; noise measurement method; Artificial neural networks; Artificial satellites; Deconvolution; Filters; Focusing; Image quality; Image recognition; Noise measurement; Telescopes; Transfer functions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International
  • Print_ISBN
    0-7803-7929-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.2003.1295560
  • Filename
    1295560