• DocumentCode
    2114219
  • Title

    Detection and correction of abnormal pixels in Hyperion images

  • Author

    Han, T. ; Goodenough, D.G. ; Dyk, A. ; Love, J.

  • Author_Institution
    Victoria Univ., BC, Canada
  • Volume
    3
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    1327
  • Abstract
    Hyperion images are currently processed to level 1a (from level 0 or raw data). These level 1a images are files of radiometrically corrected data in units of either watts/(sr × micron × m2) × 40 for VNIR bands or watts/(sr × micron × m2) × 80 for SWIR bands. Each distributed Hyperion level 1a image tape contains a log file, called "(EO-1 identifier).fix.log", that reports the bad or corrupted pixels (called known bad pixels) found during the pre-flight checking, and details how they were fixed. All bad pixels should be corrected in a level 1a image. However, bad pixels are still evident. In addition, there are dark vertical stripes in the image that are not reported in the log file. In this paper, we introduce a method to detect and correct the bad pixels and vertical stripes (we will refer to these occurrences as abnormal pixels). Images from the Greater Victoria Watershed and other EVEOSD test sites are used to determine how stationary the locations of the abnormal pixels are. After abnormal pixel correction a Hyperion image is ready for geometric correction, atmospheric correction, and further analysis.
  • Keywords
    error correction; error correction codes; geophysical signal processing; geophysical techniques; image enhancement; image processing; terrain mapping; Hyperion; IR; SWIR; VNIR; abnormal pixel; bad pixels; dark vertical stripes; detection; error correction; geophysical measurement technique; hyperspectral remote sensing; image processing; infrared; land surface; multispectral remote sensing; satellite remote sensing; signal processing; terrain mapping; visible; Earth; Forestry; Hyperspectral imaging; Hyperspectral sensors; Image analysis; Infrared spectra; Pixel; Radiometry; Sensor phenomena and characterization; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International
  • Print_ISBN
    0-7803-7536-X
  • Type

    conf

  • DOI
    10.1109/IGARSS.2002.1026105
  • Filename
    1026105