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
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;
Conference_Titel :
Microwaves, Radar, and Wireless Communication (MIKON), 2014 20th International Conference on
Conference_Location :
Gdansk
Print_ISBN :
978-617-607-553-0
DOI :
10.1109/MIKON.2014.6899844
