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2 November 2022 A robust unwrapping method for local noise phase
Quan Wu II, Qida Yu II, Jing Yang III, Xianchun Zhou IV
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Proceedings Volume 12455, International Conference on Signal Processing and Communication Security (ICSPCS 2022); 124550I (2022) https://doi.org/10.1117/12.2655186
Event: International Conference on Signal Processing and Communication Security (ICSPCS 2022), 2022, Dalian, China
Abstract
Phase unwrapping algorithm is difficult to apply in INSAR image for the local high-density noise phase attributed to significant blocky noise. To achieve its application in such case, the pixels of noise phase are first detected, and are set to 0 with the automatic mask technique. For the phase that has a blocky noise region, the iteration algorithm of phase filling based on Least-Squares is developed in this study by calculating the unwrapping coefficient k to rebuild the true phase. The algorithm is promoted by MPIPU's ability to fill in the missing phase; it can also significantly suppress the error transfer attributed to iteration filling in the non-mask phase. Some experiments are performed on simulated data. As revealed from the results, the proposed method exhibits robust performance of phase unwrapping on local noise phase.
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Quan Wu II, Qida Yu II, Jing Yang III, and Xianchun Zhou IV "A robust unwrapping method for local noise phase", Proc. SPIE 12455, International Conference on Signal Processing and Communication Security (ICSPCS 2022), 124550I (2 November 2022); https://doi.org/10.1117/12.2655186
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KEYWORDS
Signal to noise ratio
Interferometric synthetic aperture radar
Information technology
MATLAB
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