• DocumentCode
    441058
  • Title

    Target adjacency influence estimation using ground spectrum measurement and Landsat-5 data

  • Author

    Jian-Wen, Ma ; Qin, Dai ; Chun, Feng

  • Author_Institution
    Nat. Key Lab. of Remote Sensing Inf. Sci., Chinese Acad. of Sci., Beijing, China
  • Volume
    1
  • fYear
    2005
  • fDate
    25-29 July 2005
  • Abstract
    This paper addresses the adjacency effect estimation in ground spectrum and Landsat-5 pixels. The adjacency effect influences a pixel DN value by adding surface surrounding scatter signal and path scatter signals at sensor. Based on the theory of radiation transfer we designed a system that measuring the reflectance from the surface target material and the material in the box of 1.5m above the target to avoid upwelling reflectance. At every 9 × 9 sites; the measurement was carried out during the period of 10:30 to 1:30 at the Guanting remote sensing test ground of the North Beijing. The results show that the adjacency influence becomes stronger from visible, near infrared to short wave infrared regions; the adjacency effect weakens with the increase of distance between testing site and than the corresponding adjacency influence was identified in Landsat-5 image.
  • Keywords
    backscatter; data acquisition; remote sensing; China; Guanting; Landsat-5 data; North Beijing; adjacency effect estimation; ground spectrum measurement; path scatter signals; radiation transfer; remote sensing; surface surrounding scatter signal; surface target material reflectance; target adjacency influence estimation; Atmospheric measurements; Electromagnetic scattering; Geometry; Information science; Laboratories; Particle scattering; Reflectivity; Remote sensing; Satellites; Variable speed drives;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2005. IGARSS '05. Proceedings. 2005 IEEE International
  • Print_ISBN
    0-7803-9050-4
  • Type

    conf

  • DOI
    10.1109/IGARSS.2005.1526256
  • Filename
    1526256