• DocumentCode
    575987
  • Title

    Using MODTRAN4 to build up a general look-up-table database for the atmospheric correction of hyperspectral imagery

  • Author

    Hu, Shunshi ; Zhang, Lifu ; Baig, Muhammad Hasan Ali ; Tong, Qingxi

  • Author_Institution
    Inst. of Remote Sensing Applic., Beijing, China
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    2458
  • Lastpage
    2461
  • Abstract
    The traditional look up table (LUT) scheme may have some problems when applied in some cases. To avoid these problems, a general LUT with 1 nm spectral resolution is presented in this work. At first, the atmospheric optical parameters were derived by running MODTRAN4 twice. Then, these datasets were loaded into SQLite for accessing rapidly and then the 6-D linear interpolation was used for extracting desired datasets. Finally, some experiments were carried out to test the performance of the proposed technique. Results show that it is very fast to access data from SQLite database, and the proposed technique has high performance and is convenient in most of the cases.
  • Keywords
    atmospheric optics; geophysical image processing; interpolation; radiative transfer; remote sensing; table lookup; 6D linear interpolation; LUT scheme; MODTRAN4; SQLite database; atmospheric optical parameters; general look up table database; hyperspectral imagery atmospheric correction; Atmospheric modeling; Databases; Interpolation; Optical reflection; Optical sensors; Remote sensing; Table lookup; 6-D Interpolation; Hyperspectral; MODTRAN4; SQLite; atmospheric correction; look up table;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6350806
  • Filename
    6350806