Title :
Radar image fusion by multiscale Kalman filtering
Author :
Simone, G. ; Morabito, F.C. ; Farina, A.
Author_Institution :
Fac. of Eng., Calabria Univ., Italy
Abstract :
Proposes the application of a multi-scale Kalman filter (MKF) to the fusion of images of the same scene, acquired by different radars operating with different resolutions. The images have been spatially registered and they have been processed by an MKF processor to compute an output image with information improved over that carried by each input image. A fully-fledged MKF is described, and a basic model is tested to fuse AIRSAR (AIRborne Synthetic Aperture Radar) and SIR-C (Spaceborne Imaging Radar-C) images.
Keywords :
Kalman filters; image registration; radar computing; radar imaging; radar resolution; sensor fusion; signal representation; synthetic aperture radar; AIRSAR images; Hough transform; SIR-C images; Spaceborne Imaging Radar-C; airborne synthetic aperture radar; image processing; improved information; multi-resolution signal represeneation; multi-scale Kalman filter; output image computation; radar image fusion; radar resolution; spatially registered images; Filtering; Image fusion; Image resolution; Kalman filters; Layout; Radar applications; Radar imaging; Spaceborne radar; Spatial resolution; Testing;
Conference_Titel :
Information Fusion, 2000. FUSION 2000. Proceedings of the Third International Conference on
Conference_Location :
Paris, France
Print_ISBN :
2-7257-0000-0
DOI :
10.1109/IFIC.2000.859858
