Radar image fusion by multiscale Kalman filtering

Author

Simone, G. ; Morabito, F.C. ; Farina, A.

Author_Institution

Fac. of Eng., Calabria Univ., Italy

Volume

2

fYear

2000

fDate

10-13 July 2000

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Fusion, 2000. FUSION 2000. Proceedings of the Third International Conference on

Conference_Location

Paris, France

Print_ISBN

2-7257-0000-0

Type

conf

DOI

10.1109/IFIC.2000.859858

Filename

859858