TY - GEN
T1 - Maximum likelihood phase estimation method based on split-spectrum for multi-frequency InSAR system
AU - Li, Shuo
AU - Xu, Huaping
AU - You, Yanan
AU - Yang, Bo
N1 - Publisher Copyright:
© 2018 IEEE
PY - 2018/10/31
Y1 - 2018/10/31
N2 - Multi-frequency interferometric synthetic aperture radar (InSAR) has drawn more attention in reconstructing height profile. In this paper, a novel unwrapped phase estimation method based on split-spectrum strategy and maximum likelihood (ML) criterion is proposed for multi-frequency InSAR. Firstly, multiple range subband interferograms are generated with the split-spectrum strategy to form a multifrequency configuration. Then, unwrapped phase of the reference frequency is estimated via ML method modeled by the proposed normalized probability density function (pdf) which is able to remove the phase ambiguity. Finally, simulation experiments are carried out to evaluate algorithm performance. Smaller unwrapped phase error standard deviation verifies the effectiveness and exactness of the proposed method.
AB - Multi-frequency interferometric synthetic aperture radar (InSAR) has drawn more attention in reconstructing height profile. In this paper, a novel unwrapped phase estimation method based on split-spectrum strategy and maximum likelihood (ML) criterion is proposed for multi-frequency InSAR. Firstly, multiple range subband interferograms are generated with the split-spectrum strategy to form a multifrequency configuration. Then, unwrapped phase of the reference frequency is estimated via ML method modeled by the proposed normalized probability density function (pdf) which is able to remove the phase ambiguity. Finally, simulation experiments are carried out to evaluate algorithm performance. Smaller unwrapped phase error standard deviation verifies the effectiveness and exactness of the proposed method.
KW - Maximum likelihood estimation
KW - Multi-frequency InSAR
KW - Phase unwrapping
KW - Split-spectrum
UR - https://www.scopus.com/pages/publications/85063134224
U2 - 10.1109/IGARSS.2018.8518237
DO - 10.1109/IGARSS.2018.8518237
M3 - 会议稿件
AN - SCOPUS:85063134224
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 2157
EP - 2160
BT - 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018
Y2 - 22 July 2018 through 27 July 2018
ER -