An improved UAV-borne InSAR baseline estimation method based on interferometric phase period

Tong Zhang; Ming Qiao; Xiangwei Dang; Shengyiliu Zhong

doi:10.1117/12.2639529

1 August 2022 An improved UAV-borne InSAR baseline estimation method based on interferometric phase period

Tong Zhang, Ming Qiao, Xiangwei Dang, Shengyiliu Zhong

Proceedings Volume 12257, 4th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2022); 1225724 (2022) https://doi.org/10.1117/12.2639529
Event: 4th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2022), 2022, Guangzhou, China

Abstract

UAV-borne interferometric SAR has unique advantages and has attracted the attention of key research institutions in recent years. Baseline is a crucial parameter in InSAR processing, which is directly related to the accuracy of InSAR measurements. Compared with space-borne InSAR, UAV platform is difficult to keep the flight at the same track, and the flight attitude is unstable, which brings great difficulties to the baseline estimation of UAV-borne InSAR. In this paper, an improved baseline estimation method is proposed. This method derives the relationship between the interference phase period, the slant range, the distance between two ground points, and the phase difference through the interference geometric relationship. The distance between the two points is then substituted into the known parameters for baseline estimation using the least squares method. Compared with the original method, the proposed method can fully exploit the potential of the interferogram data by applying the least square method to solve the formula between flight parameters and baseline parameter to achieve baseline estimation. The simulated results and the flight test results of the original method and the proposed method are Compared. The absolute error, RMSE and standard deviation of both methods are calculated. It shows that the accuracy and robustness of the proposed method are significantly improved.

Citation Download Citation

Tong Zhang, Ming Qiao, Xiangwei Dang, and Shengyiliu Zhong "An improved UAV-borne InSAR baseline estimation method based on interferometric phase period", Proc. SPIE 12257, 4th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2022), 1225724 (1 August 2022); https://doi.org/10.1117/12.2639529

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KEYWORDS

Interferometric synthetic aperture radar

Interferometry

Phase interferometry

Error analysis

Unmanned aerial vehicles

Data processing

Synthetic aperture radar

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