• DocumentCode
    353483
  • Title

    3-D soil reconstruction from binocular stereo disparity

  • Author

    Tebourbi, Riadh ; Belhadj, Ziad ; Zribi, Mehrez ; Boussema, Mohamed Rached

  • Author_Institution
    Lab. de Teledetection et Syst. d.Inf. a Reference Spatiale, ENIT, Tunis, Tunisia
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    847
  • Abstract
    Stereoscopic vision, which consists on the use of two images taken with two cameras from different angles for three-dimensional scenes reconstruction, can give useful information and can ameliorate the physical interpretations of the natural scenes such as terrain morphology, soil roughness, growth crops, etc. The authors propose the use of stereovision for calculating accurately three-dimensional soil surface and its statistical parameters by fractal interpolation
  • Keywords
    fractals; geophysical signal processing; geophysical techniques; rough surfaces; soil; stereo image processing; terrain mapping; binocular stereo disparity; fractal interpolation; geophysical measurement technique; land surface; reconstruction; remote sensing; rough surface; soil roughness; statistical parameters; stereo image processing; stereovision; terrain mapping; terrain morphology; three dimensional structure; three-dimensional scene; Cameras; Crops; Image reconstruction; Layout; Rough surfaces; Soil; Stereo image processing; Surface morphology; Surface reconstruction; Surface roughness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    0-7803-6359-0
  • Type

    conf

  • DOI
    10.1109/IGARSS.2000.861723
  • Filename
    861723