A quality-guided least squares phase unwrapping algorithm

doi:10.6046/zrzyyg.2022265

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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

ZTFLH:

TP79

Issue Date: 21 December 2023

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	Hui XIAO
	Huitang LI
	Yuehan GU
	Qinghong SHENG

Cite this article:

Hui XIAO,Huitang LI,Yuehan GU, et al. A quality-guided least squares phase unwrapping algorithm[J]. Remote Sensing for Natural Resources, 2023, 35(4): 25-33.

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https://www.gtzyyg.com/EN/10.6046/zrzyyg.2022265 OR https://www.gtzyyg.com/EN/Y2023/V35/I4/25

Fig.1 Simulation data

Fig.2 Image of the study area

Fig.3 Flow processing of Interference image pair diagram

Fig.4 Interferometric phase correlation images

Fig.5 DEM correlation data after resampling

Fig.6 Interferometric phase correlation images

Fig.7 Unwrapping results

Tab.1 RMSE statistics of unwrapping results of various algorithms

Fig.8 Unwrapping results of real data

Tab.2 RMSE statistics of real data unwrapping results of various algorithms

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