DocumentCode :
2681035
Title :
Introduction of a grid-based filter approach for InSAR phase filtering and unwrapping
Author :
Martinez-Espla, Juan J. ; Martinez-Marin, Tomas ; Lopez-Sanchez, Juan M.
Author_Institution :
Univ. of Alicante, Alicante
fYear :
2007
fDate :
23-28 July 2007
Firstpage :
4497
Lastpage :
4500
Abstract :
This work presents a phase unwrapping (PU) algorithm for SAR interferometry based on an approximate grid-based filter (GbF). This PU algorithm, which makes use of state space techniques, performs simultaneously noise filtering and phase unwrapping. The formulation of this technique provides independence from noise statistics and is not constrained by the non-linearity of the problem. Results obtained with synthetic and real data show a significant improvement with respect to conventional PU algorithms in some situations.
Keywords :
Kalman filters; radar interferometry; radar signal processing; remote sensing by radar; synthetic aperture radar; InSAR phase filtering; SAR interferometry; grid-based filter; noise filtering; noise statistics; phase unwrapping; state space technique; Filtering algorithms; Filtering theory; Frequency estimation; Gaussian noise; Nonlinear filters; Phase estimation; Phase noise; Physics; State-space methods; Synthetic aperture radar interferometry; SAR interferometry; extended Kalman filter; grid filter; phase unwrapping;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-1211-2
Electronic_ISBN :
978-1-4244-1212-9
Type :
conf
DOI :
10.1109/IGARSS.2007.4423855
Filename :
4423855
Link To Document :
بازگشت