| China Aero Geophysical Survey and Remote Sensing Center for Natural Resources | Host |
| 地质出版社 | Publish |
| Citation: |
XIAO Hui, LI Huitang, GU Yuehan, SHENG Qinghong. 2023. A quality-guided least squares phase unwrapping algorithm. Remote Sensing for Natural Resources, 35(4): 25-33. doi: 10.6046/zrzyyg.2022265
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A quality-guided least squares phase unwrapping algorithm
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Abstract
Interferometric synthetic aperture Radar (InSAR) can extract three-dimensional information about a ground target from the phase information in an interferogram. Phase unwrapping is an important step in the InSAR process, and its accuracy dictates the accuracy of the digital elevation model (DEM) or the ground deformation information. To overcome the serious phase decorrelation and phase noise in complex mountainous areas, this study divided the study area according to the quality of interference phases and proposed a quality-guided least squares phase unwrapping algorithm. Then, the algorithm was employed for the phase unwrapping of simulated low-noise interferometric phase data and Sentinel-1A InSAR interferometric images of the Qinling area of China. The results show that the proposed algorithm can effectively improve the phase consistency among high- and low-quality zones and the overall accuracy of phase unwrapping.-
Keywords:
- InSAR /
- phase unwrapping /
- quality-guided method /
- least squares method
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XIAO Hui, LI Huitang, GU Yuehan, SHENG Qinghong. 2023. A quality-guided least squares phase unwrapping algorithm. Remote Sensing for Natural Resources, 35(4): 25-33. doi: 10.6046/zrzyyg.2022265
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