• DocumentCode
    2188645
  • Title

    Use of technicals of remote sensing for the development of digital elevation model from video images

  • Author

    De Almeida Espinoza, Jean Marcel ; Albuquerque, Miguel Da Guia ; Silva, Marine ; Calliar, Lauro

  • Author_Institution
    Nat. Inst. for Educ., Sci. & Technol., Rio Grande, Brazil
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    2653
  • Lastpage
    2656
  • Abstract
    The objective of this study is to characterize the process of extracting digital elevation models from ARGUS video images and remote sensing techniques. Using principal components analysis, the record of images into a UTM coordinate system, together with the acquisition of image parameters it was possible to extract altimetry from a 2D image to generate a 3D image. The use of data collected on site and the use of polynomial linear regression models it was possible to calibrate the 3D images in a way to better represent altimetry with great accuracy. In this context, the video monitoring system with 3D view turns out to be an important low cost tool to monitor coastal environments, allowing the analysis of vertical changes and thus permitting a better understanding of beach morphodynamics for the coastal managers.
  • Keywords
    digital elevation models; geomorphology; radar altimetry; regression analysis; remote sensing; video signal processing; ARGUS video images; UTM coordinate system; altimetry; beach morphodynamics; coastal management; digital elevation model; image parameters; polynomial linear regression models; principal components analysis; remote sensing; video monitoring system; Decision support systems; Digital elevation models; Remote monitoring; Remote sensing; Sea coast; Video signal processing;
  • 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.2012.6350383
  • Filename
    6350383