• DocumentCode
    801329
  • Title

    MISR stereoscopic image matchers: techniques and results

  • Author

    Muller, Jan-Peter ; Mandanayake, Athula ; Moroney, Catherine ; Davies, Roger ; Diner, David J. ; Paradise, Susan

  • Author_Institution
    Dept. of Geomatic Eng., Univ. Coll. London, UK
  • Volume
    40
  • Issue
    7
  • fYear
    2002
  • fDate
    7/1/2002 12:00:00 AM
  • Firstpage
    1547
  • Lastpage
    1559
  • Abstract
    The Multi-angle Imaging SpectroRadiometer (MISR) instrument, launched in December 1999 on the NASA EOS Terra satellite, produces images in the red band at 275-m resolution, over a swath width of 360 km, for the nine camera angles 70.5°, 60°, 45.6°, and 26.1° forward, nadir, and 26.1°, 45.6°, 60°, and 70.5° aft. A set of accurate and fast algorithms was developed for automated stereo matching of cloud features to obtain cloud-top height and motion over the nominal six-year lifetime of the mission. Accuracy and speed requirements necessitated the use of a combination of area-based and feature-based stereo-matchers with only pixel-level acuity. Feature-based techniques are used for cloud motion retrieval with the off-nadir MISR camera views, and the motion is then used to provide a correction to the disparities used to measure cloud-top heights which are derived from the innermost three cameras. Intercomparison with a previously developed "superstereo" matcher shows that the results are very comparable in accuracy with much greater coverage and at ten times the speed. Intercomparison of feature-based and area-based techniques shows that the feature-based techniques are comparable in accuracy at a factor of eight times the speed. An assessment of the accuracy of the area-based matcher for cloud-free scenes demonstrates the accuracy and completeness of the stereo-matcher. This trade-off has resulted in the loss of a reliable quality metric to predict accuracy and a slightly high blunder rate. Examples are shown of the application of the MISR stereo-matchers on several difficult scenes which demonstrate the efficacy of the matching approach.
  • Keywords
    atmospheric techniques; clouds; optical images; radiometry; remote sensing; stereo image processing; MISR stereoscopic image matchers; Multi-angle Imaging SpectroRadiometer; NASA EOS Terra satellite; automated stereo matching; cloud features; cloud motion retrieval; cloud-free scenes; cloud-top height; feature-based techniques; off-nadir camera views; operational applications; photogrammetry; red band images; swath width; Cameras; Clouds; Earth Observing System; Image resolution; Instruments; Layout; Motion measurement; NASA; Satellites; Spectroradiometers;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2002.801160
  • Filename
    1025521