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Data Acquisition of GNSS-Based InSAR: Joint Accuracy-Efficiency Optimization of 3-D Deformation Retrieval

Zhanze Wang, Feifeng Liu, Ruihong Lv, Shuyao Zhang

2022IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing17 citationsDOIOpen Access PDF

Abstract

In the Global Navigation Satellite System-based Synthetic Aperture Radar Interferometry (GNSS-based InSAR) system, the 3D 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 paper, an experimental design algorithm for GNSS-based InSAR is proposed to achieve the highest monitoring efficiency with the restriction of the 3D 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 3D 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.

Topics & Concepts

GNSS applicationsInterferometric synthetic aperture radarComputer scienceDeformation monitoringSynthetic aperture radarRemote sensingSatelliteSatellite systemJoint (building)InterferometryBistatic radarGeodesyDeformation (meteorology)Computer visionGlobal Positioning SystemRadarRadar imagingGeologyTelecommunicationsEngineeringAerospace engineeringPhysicsAstronomyOceanographyArchitectural engineeringSynthetic Aperture Radar (SAR) Applications and TechniquesSoil Moisture and Remote SensingAdvanced SAR Imaging Techniques
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