DocumentCode :
3690929
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
fYear :
2015
fDate :
7/1/2015 12:00:00 AM
Firstpage :
4260
Lastpage :
4263
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"
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International
ISSN :
2153-6996
Electronic_ISBN :
2153-7003
Type :
conf
DOI :
10.1109/IGARSS.2015.7326767
Filename :
7326767
Link To Document :
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