• DocumentCode
    3362370
  • Title

    Fusion of coincident images using spatial frequency discrimination by application of the wavelet transform

  • Author

    Graham, Lewis ; Adhami, Reza

  • Author_Institution
    Dept. of Res. & Technol., Intergraph Corp., Huntsville, AL, USA
  • fYear
    1994
  • fDate
    25-28 Oct 1994
  • Firstpage
    326
  • Lastpage
    329
  • Abstract
    The visual inspection of remotely sensed data is becoming an arduous task as the numbers and types of sensors scanning the same object area proliferates. We present here a technique for constructing a composite image with selected information from the contributing source images. The selection criteria is based on using the spatial frequency distribution, as determined by a two dimensional wavelet transform, as a measure of the information content of the source images
  • Keywords
    image processing; image segmentation; remote sensing; sensor fusion; wavelet transforms; coincident images fusion; composite image; information content; informational content; remotely sensed data; source images; spatial frequency discrimination; two dimensional wavelet transform; visual inspection; Application software; Entropy; Frequency measurement; Hyperspectral sensors; Image analysis; Image sensors; Infrared image sensors; Inspection; Pixel; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Time-Frequency and Time-Scale Analysis, 1994., Proceedings of the IEEE-SP International Symposium on
  • Conference_Location
    Philadelphia, PA
  • Print_ISBN
    0-7803-2127-8
  • Type

    conf

  • DOI
    10.1109/TFSA.1994.467227
  • Filename
    467227