A new synthesis algorithm based on least squares for InSAR phase unwrapping
- https://doi.org/10.2991/iceesd-18.2018.307How to use a DOI?
- Phase unwrapping; Least square method; Local frequency estimation; Interferometry
Phase unwrapping is a key step of interference synthetic aperture radar (InSAR) signal processing, while the existence of some factors such as the noises and the lack of data sampling makes this process extremely difficult. The least square method is the fastest way to unwrap, and there is no region that cannot be unwrapped. The unwrapping process using the least square method is to go across the residues, which leads to the propagation of error in the entire range, causing unideal unwrapping results due to the excessive errors. Here is a new algorithm of phase unwrapping aimed at the features of the least square method. The new algorithm is based on the least square method. First of all, it recognizes the residues, determining the unwrapping process tentatively by using the least square method to unwrap so as to get the preliminary results of the residues. Then, it can make effective estimation of the unwrapping value of the residues using the local frequency estimation, and continue the unwrapping process of the least square method by utilizing the values after the reconfiguration. The new algorithm adds local frequency estimation into the unwrapping process of the least square method, making effective estimation reconfiguration of the residues specifically in order to improve the unwrapping accuracy by lowering the time consumption as much as possible. Both the simulation and measured data experiments prove that the new algorithm is able to reduce the overall impact of the noise pixels, restrain the spread of the unwrapping errors and enhance the phase unwrapping accuracy.
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Liubing Jiang AU - Yongji Liu AU - Li Che AU - Cong Li PY - 2018/05 DA - 2018/05 TI - A new synthesis algorithm based on least squares for InSAR phase unwrapping BT - Proceedings of the 2018 7th International Conference on Energy, Environment and Sustainable Development (ICEESD 2018) PB - Atlantis Press SP - 1700 EP - 1709 SN - 2352-5401 UR - https://doi.org/10.2991/iceesd-18.2018.307 DO - https://doi.org/10.2991/iceesd-18.2018.307 ID - Jiang2018/05 ER -