摘要
A novel multi-baseline phase unwrapping algorithm based on the unscented particle filter for interferometric synthetic aperture radar （INSAR） technology application is proposed. The proposed method is not constrained by the nonlinearity of the problem and is independent of noise statistics, and performs noise eliminating and phase unwrapping at the same time by combining with an unscented particle filter with a path-following strategy and an omni-directional local phase slope estimator. Results obtained from multi-baseline synthetic data and single-baseline real data show the performance of the proposed method.
A novel multi-baseline phase unwrapping algorithm based on the unscented particle filter for interferometric synthetic aperture radar （INSAR） technology application is proposed. The proposed method is not constrained by the nonlinearity of the problem and is independent of noise statistics, and performs noise eliminating and phase unwrapping at the same time by combining with an unscented particle filter with a path-following strategy and an omni-directional local phase slope estimator. Results obtained from multi-baseline synthetic data and single-baseline real data show the performance of the proposed method.
基金
supported by the National Natural Science Foundation of China(41201479)
the Scientific Research Project of Guilin University of Electronic Technology(UF11015Y)
作者简介
Corresponding author.Xianming Xie was born in 1979. He received his B.S. degree in electrical information engineering in 2002 and M.S. degree in control theory and control engineering in 2005 from Southwest University of Science and Technology, and Ph.D. degree in signal and information processing from University of Electronic Science and Technology of China in 2011. He has been a lecturer in Guilin University of Electronic Technology （GUET） since 2011. His research interests include synthetic aperture radar signal processing, microwave remote sensing for digital elevation models and phase unwrapping with application in SAR interferometry. E-mail： xxmxgm@ 163.com
