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

doi:10.7523/j.ucas.2022.053

Abstract

Abstract: UAV (unmanned aerial vehicle)-borne differential interferometric synthetic aperture radar (SAR) has unique advantage and has attracted the attention of key research institutions at home and abroad in recent years. Baseline is a crucial parameter in differential in DInSAR processing, which is directly related to the accuracy of interferometric measurements. Compared with space-borne InSAR, UAV platform is difficult to keep the flight at the same track, and the flight attitude are unstable, which brings great difficulties to the baseline estimation of UAV-borne DInSAR. In this paper, starts from the characteristics of UAV platform and application scenarios, 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. Comparing the simulation results and the actual data results of the original method and the improved method, it shows that the accuracy and robustness of the baseline estimation results of the improved method are significantly improved.

Key words: UAV, DInSAR, baseline estimation, mini-SAR

CLC Number:

TP751.1

ZHANG Tong, QIAO Ming, DANG Xiangwei, ZHONG Shengyiliu. An improved UAV-borne DInSAR baseline estimation method based on interferometric phase period[J]. Journal of University of Chinese Academy of Sciences, 2024, 41(1): 88-96.

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