TY - JOUR
T1 - Data Acquisition of GNSS-Based InSAR
T2 - Joint Accuracy-Efficiency Optimization of 3-D Deformation Retrieval
AU - Wang, Zhanze
AU - Liu, Feifeng
AU - Lv, Ruihong
AU - Zhang, Shuyao
N1 - Publisher Copyright:
© 2008-2012 IEEE.
PY - 2022
Y1 - 2022
N2 - In the Global Navigation Satellite System-based Synthetic Aperture Radar Interferometry (GNSS-based InSAR) system, the 3-D deformation retrieval accuracy and monitoring efficiency are very poor for the majority of the one repeat-pass period. It is necessary to select the data acquisition time and corresponding satellite combination to obtain better monitoring accuracy and efficiency. In this article, an experimental design algorithm for GNSS-based InSAR is proposed to achieve the highest monitoring efficiency with the restriction of the 3-D deformation retrieval accuracy. First, the joint optimization model is proposed, and based on an analysis of different satellite trajectories, it is proven that the optimal solution can be obtained. Second, the 3-D deformation retrieval accuracy model is derived based on the bistatic configuration, and the monitoring efficiency is evaluated based on the number of effective independent points of a single SAR image. The raw data are employed to indicate the effectiveness of the proposed joint accuracy-efficiency optimization algorithm in GNSS-based InSAR.
AB - In the Global Navigation Satellite System-based Synthetic Aperture Radar Interferometry (GNSS-based InSAR) system, the 3-D deformation retrieval accuracy and monitoring efficiency are very poor for the majority of the one repeat-pass period. It is necessary to select the data acquisition time and corresponding satellite combination to obtain better monitoring accuracy and efficiency. In this article, an experimental design algorithm for GNSS-based InSAR is proposed to achieve the highest monitoring efficiency with the restriction of the 3-D deformation retrieval accuracy. First, the joint optimization model is proposed, and based on an analysis of different satellite trajectories, it is proven that the optimal solution can be obtained. Second, the 3-D deformation retrieval accuracy model is derived based on the bistatic configuration, and the monitoring efficiency is evaluated based on the number of effective independent points of a single SAR image. The raw data are employed to indicate the effectiveness of the proposed joint accuracy-efficiency optimization algorithm in GNSS-based InSAR.
KW - 3-D deformation retrieval
KW - GNSS-based InSAR
KW - experimental design
KW - joint accuracy-efficiency optimization
UR - http://www.scopus.com/inward/record.url?scp=85139450099&partnerID=8YFLogxK
U2 - 10.1109/JSTARS.2022.3206110
DO - 10.1109/JSTARS.2022.3206110
M3 - Article
AN - SCOPUS:85139450099
SN - 1939-1404
VL - 15
SP - 7886
EP - 7898
JO - IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
JF - IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
ER -