Title
Data Acquisition of GNSS-Based InSAR: Joint Accuracy-Efficiency Optimization of 3-D Deformation Retrieval
Abstract
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.
Year
DOI
Venue
2022
10.1109/JSTARS.2022.3206110
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
Keywords
DocType
Volume
Strain, Satellites, Monitoring, Three-dimensional displays, Synthetic aperture radar, Rail transportation, Low earth orbit satellites, 3-D deformation retrieval, experimental design, GNSS-based InSAR, joint accuracy-efficiency optimization
Journal
15
ISSN
Citations 
PageRank 
1939-1404
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Zhanze Wang101.69
Zhipeng Liu2366.61
Ruihong Lv300.34
Shuyao Zhang400.34