• DocumentCode
    2218975
  • Title

    Extending RGM to simulate the directional reflectance for complex mountainous regions

  • Author

    Xie, Donghui ; Wang, Peijuan ; Yan, Guangjian ; Zhu, Qijiang

  • Author_Institution
    Sch. of Geogr. & Remote Sensing Sci., Beijing Normal Univ., Beijing, China
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    4209
  • Lastpage
    4212
  • Abstract
    As one of the computer simulation models, RGM (Radiosity-Graphics combined Model) can take the processes of reflectance, transmittance and multiple scattering among and between canopies into account. It is appropriate for simulating the directional reflectance from some small canopies and the simulating results are validated well, but the model is difficult to simulate the reflectance of complex scenes, such as mountainous region because the algorithm of RGM is complicated and time-consuming. In order to research the characteristics of the radiation and the reflectance from complex mountainous region, RGM is extended to simulate the directional reflectance from all kinds of topography in this article. To conquer the two disadvantages in RGM, the model is modified in two steps. Firstly, complex mountainous scenes are simplified to only keep DEM. Secondly the algorithm of Radiosity is modified to couple other BRDF (Bidirectional Reflectance Distribution Function) models of vegetation, such as NADIM model, to consider directional radiation of the surfaces of DEM (Digital Elevation Model). A DEM scene produced by a normal distribution random number and a real DEM scene from Tibet Plateau are used to test the modified RGM and the results are analyzed simply.
  • Keywords
    brightness; digital elevation models; geophysics computing; normal distribution; remote sensing; terrain mapping; topography (Earth); vegetation; BRDF models; NADIM model; Tibet Plateau; bidirectional reflectance distribution function; complex mountainous region; complex mountainous scenes; computer simulation model RGM; digital elevation model; directional radiation; directional reflectance; multiple scattering; normal distribution random number; radiosity-graphic combined model; real DEM scene; small canopies; topography; vegetation; Computational modeling; Land surface; Mathematical model; Reflectivity; Remote sensing; Scattering; Surface topography; BRDF; DEM; NADIM; Radiosity-Graphics combined Model (RGM);
  • 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.2012.6351740
  • Filename
    6351740