• DocumentCode
    237953
  • Title

    Particle filter modification using Kalman optimal filtering method as applied to road detection from sattelite images

  • Author

    Jerzy, Demkowicz

  • Author_Institution
    Dept. of Geoinf., Gdansk Univ. of Technol., Gdansk, Poland
  • fYear
    2014
  • fDate
    16-18 June 2014
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    In the paper recursive state estimation approach is presented as applied to satellite images. Especially, a model of dynamic systems of the non-linear and non-Gaussian systems is presented, and finally the Kalman filter and particle filter and an integration of both is figured out. Special attention is paid to the application for satellite image analysis.
  • Keywords
    Kalman filters; particle filtering (numerical methods); roads; state estimation; Kalman filter; Kalman optimal filtering method; dynamic system model; nonGaussian system; nonlinear system; particle filter modification; recursive state estimation approach; road detection; satellite image analysis application; Sensors; Kalman Filter; Object Detection; Particle Filter; Satellite Images;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microwaves, Radar, and Wireless Communication (MIKON), 2014 20th International Conference on
  • Conference_Location
    Gdansk
  • Print_ISBN
    978-617-607-553-0
  • Type

    conf

  • DOI
    10.1109/MIKON.2014.6899844
  • Filename
    6899844
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=237953