Title :
Probabilistic data association Kalman filter for multi-channel phase unwrapping
Author :
Fabio Baselice;Davide Chirico;Giampaolo Ferraioli;Gilda Schirinzi
Author_Institution :
Dipartimento di Ingegneria, Università
fDate :
7/1/2015 12:00:00 AM
Abstract :
Within this manuscript a novel Multi-channel InSAR phase unwrapping method is proposed. The approach implements an Extended Kalman Filter for jointly unwrap the phase and regularize the result. The novelty of the methodology consists in the probabilistic data association step that has been implemented in order to improve the robustness of EKF for PhU. Encouraging results on simulated dataset are reported.
Keywords :
"Kalman filters","Phase measurement","Probabilistic logic","Synthetic aperture radar","Image reconstruction","Estimation"
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International
Electronic_ISBN :
2153-7003
DOI :
10.1109/IGARSS.2015.7326767