• DocumentCode
    291759
  • Title

    Precise geometric registration of ASAS airborne data for land surface BRDF studies

  • Author

    Allison, David ; Barnsley, Michael J. ; Lewis, Philip ; Dyble, Nigel ; Muller, Jan-Peter

  • Author_Institution
    Dept. of Geogr., Univ. Coll. London, UK
  • Volume
    3
  • fYear
    1994
  • fDate
    8-12 Aug 1994
  • Firstpage
    1655
  • Abstract
    Considers the special problems that must be addressed when registering multi-angle images acquired by airborne multispectral scanners, such as NASA´s Advanced Solid-state Array Spectroradiometer (ASAS). The limitations of standard registration procedures are discussed, and an alternative approach making use of automated control-point selection and image correlation are outlined. The application of this approach is illustrated using eight look angles, ranging from 60° forward to 30° backward, from one flight line acquired by ASAS over the HAPEX-Sahel test site in Niger, for which an average RMS residual error of 0.36 pixels across is demonstrated. Finally, some observations are made regarding the registration and resampling of multi-angle and multi-scale data. These are discussed in light of plans to use multi-angle satellite data acquired by future satellite sensors to estimate various biophysical properties of the land surface, and to detect changes in these properties over time
  • Keywords
    geophysical signal processing; geophysical techniques; image registration; infrared imaging; optical information processing; remote sensing; ASAS airborne data; Advanced Solid-state Array Spectroradiometer; BRDF studies; HAPEX-Sahel; Niger; automated control-point selection; geometric registration; geophysical technique measurement; image correlation; image registration; land surface terrain mapping; multiangle image; multispectral method; optical imaging IR imaging infrared; remote sensing; resampling; Biosensors; Educational institutions; Land surface; Layout; Reflectivity; Remote sensing; Rough surfaces; Satellites; Sensor phenomena and characterization; Surface roughness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 1994. IGARSS '94. Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation., International
  • Conference_Location
    Pasadena, CA
  • Print_ISBN
    0-7803-1497-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.1994.399528
  • Filename
    399528