Radar image fusion by multiscale Kalman filtering

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.