Paper
27 September 2022 L1-norm regularization based SAR phase unwrapping: initial result
Zhaoqi Wei, Jingjing Zhang, Liping Wang, Yong Li, Hui Bi
Author Affiliations +
Proceedings Volume 12346, 2nd International Conference on Information Technology and Intelligent Control (CITIC 2022); 123460P (2022) https://doi.org/10.1117/12.2653450
Event: 2nd International Conference on Information Technology and Intelligent Control (CITIC 2022), 2022, Kunming, China
Abstract
Synthetic aperture radar interferometry (InSAR) exploits two complex-valued images of the same target area to extract interferogram. However, due to the periodicity of trigonometric functions, the interferometric phase is only measured modulo 2π and wrapped between [-π,π). Therefore, phase unwrapping is necessary in InSAR processing for absolute terrain phase. The phase unwrapping method has a great influence on the accuracy of phase recovery. The phase difference between wrapped phase and unwrapped phase, usually called phase ambiguity cycle, can be estimated as an integer multiple of . The phase unwrapping problem is essentially the problem of estimating the phase ambiguity cycle. Since the phase ambiguity cycle is equal to zero in most cases, its estimation can be regarded as a sparse signal recovery problem. In this paper, an L1-norm regularization-based SAR phase unwrapping method is introduced to estimate the phase ambiguity cycle and obtain the high-quality absolute phase. In the proposed method, we firstly construct the phase unwrapping model based on the relationship between wrapped and absolute phase. Then the phase ambiguity cycle will be recovered by solving an L1-norm regularization problem. Experimental results based on simulated and real data validate the proposed method.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhaoqi Wei, Jingjing Zhang, Liping Wang, Yong Li, and Hui Bi "L1-norm regularization based SAR phase unwrapping: initial result", Proc. SPIE 12346, 2nd International Conference on Information Technology and Intelligent Control (CITIC 2022), 123460P (27 September 2022); https://doi.org/10.1117/12.2653450
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KEYWORDS
Synthetic aperture radar

Interferometry

Phase interferometry

Interferometric synthetic aperture radar

Phase measurement

Transform theory

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