A Fast PS Sequence Selection Algorithm for GNSS-Based InBSAR

Feifeng Liu; Rongyi Cui; Zhanze Wang; Chushan Fu; Shuaizhen Zhong

doi:10.1109/LGRS.2026.3662710

A Fast PS Sequence Selection Algorithm for GNSS-Based InBSAR

Feifeng Liu
, Rongyi Cui
, Zhanze Wang^*
, Chushan Fu
, Shuaizhen Zhong

^*此作品的通讯作者

Beijing Institute of Technology
Chinese University of Hong Kong

科研成果: 期刊稿件 › 文章 › 同行评审

摘要

Global navigation satellite system-based bistatic synthetic aperture radar interferometry (GNSS-based InBSAR) enables near-real-time 3-D deformation monitoring by combining interferometric phases from different satellites at varying time points. However, the low resolution and low signal-to-noise ratio (SNR) compromise the reliability of persistent scatterer (PS) association in time-series imagery, introducing the reuse of PSs. To achieve this, it demands PS selection algorithms with both high computational efficiency and precision. In this letter, a fast PS sequence selection algorithm is proposed for GNSS-based InBSAR. First, pre PS sequences are screened based on sequence length, SNR, position offset, and amplitude dispersion to ensure interferometric phase stability under low-SNR conditions. Second, a criterion is set to select the ”best” sequence, facilitating the rapid removal of duplicate PSs. Finally, the computational load is quantitatively characterized, demonstrating O(n²) efficiency. Validation of the proposed algorithm is carried out using BeiDou satellite measured data, achieving 2-h-interval 3-D deformation measurements.

源语言	英语
文章编号	4004705
期刊	IEEE Geoscience and Remote Sensing Letters
卷	23
DOI	https://doi.org/10.1109/LGRS.2026.3662710
出版状态	已出版 - 2026
已对外发布	是

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title = "A Fast PS Sequence Selection Algorithm for GNSS-Based InBSAR",

abstract = "Global navigation satellite system-based bistatic synthetic aperture radar interferometry (GNSS-based InBSAR) enables near-real-time 3-D deformation monitoring by combining interferometric phases from different satellites at varying time points. However, the low resolution and low signal-to-noise ratio (SNR) compromise the reliability of persistent scatterer (PS) association in time-series imagery, introducing the reuse of PSs. To achieve this, it demands PS selection algorithms with both high computational efficiency and precision. In this letter, a fast PS sequence selection algorithm is proposed for GNSS-based InBSAR. First, pre PS sequences are screened based on sequence length, SNR, position offset, and amplitude dispersion to ensure interferometric phase stability under low-SNR conditions. Second, a criterion is set to select the ”best” sequence, facilitating the rapid removal of duplicate PSs. Finally, the computational load is quantitatively characterized, demonstrating O(n2) efficiency. Validation of the proposed algorithm is carried out using BeiDou satellite measured data, achieving 2-h-interval 3-D deformation measurements.",

keywords = "3-D, global navigation satellite system-based bistatic synthetic aperture radar interferometry (GNSS-based InBSAR), near-real-time monitoring, persistent scatterer (PS) sequence, “best” sequence selection",

author = "Feifeng Liu and Rongyi Cui and Zhanze Wang and Chushan Fu and Shuaizhen Zhong",

note = "Publisher Copyright: {\textcopyright} 2004-2012 IEEE.",

year = "2026",

doi = "10.1109/LGRS.2026.3662710",

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AU - Cui, Rongyi

AU - Wang, Zhanze

AU - Fu, Chushan

AU - Zhong, Shuaizhen

PY - 2026

Y1 - 2026

N2 - Global navigation satellite system-based bistatic synthetic aperture radar interferometry (GNSS-based InBSAR) enables near-real-time 3-D deformation monitoring by combining interferometric phases from different satellites at varying time points. However, the low resolution and low signal-to-noise ratio (SNR) compromise the reliability of persistent scatterer (PS) association in time-series imagery, introducing the reuse of PSs. To achieve this, it demands PS selection algorithms with both high computational efficiency and precision. In this letter, a fast PS sequence selection algorithm is proposed for GNSS-based InBSAR. First, pre PS sequences are screened based on sequence length, SNR, position offset, and amplitude dispersion to ensure interferometric phase stability under low-SNR conditions. Second, a criterion is set to select the ”best” sequence, facilitating the rapid removal of duplicate PSs. Finally, the computational load is quantitatively characterized, demonstrating O(n2) efficiency. Validation of the proposed algorithm is carried out using BeiDou satellite measured data, achieving 2-h-interval 3-D deformation measurements.

AB - Global navigation satellite system-based bistatic synthetic aperture radar interferometry (GNSS-based InBSAR) enables near-real-time 3-D deformation monitoring by combining interferometric phases from different satellites at varying time points. However, the low resolution and low signal-to-noise ratio (SNR) compromise the reliability of persistent scatterer (PS) association in time-series imagery, introducing the reuse of PSs. To achieve this, it demands PS selection algorithms with both high computational efficiency and precision. In this letter, a fast PS sequence selection algorithm is proposed for GNSS-based InBSAR. First, pre PS sequences are screened based on sequence length, SNR, position offset, and amplitude dispersion to ensure interferometric phase stability under low-SNR conditions. Second, a criterion is set to select the ”best” sequence, facilitating the rapid removal of duplicate PSs. Finally, the computational load is quantitatively characterized, demonstrating O(n2) efficiency. Validation of the proposed algorithm is carried out using BeiDou satellite measured data, achieving 2-h-interval 3-D deformation measurements.

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JO - IEEE Geoscience and Remote Sensing Letters

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A Fast PS Sequence Selection Algorithm for GNSS-Based InBSAR

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