Optimal data acquisition in multi-pass geosynchronous SAR tomography

Abstract

Geosynchronous SAR tomography (GEO TomoSAR) techniques exploit multi-pass SAR acquisitions of the same scene, taken with slightly different view angles, and allow generating fully 3D images. Compared to low earth orbit (LEO) SAR case, GEO SAR has the advantages of shorter revisit time period and wider coverage, which can greatly shorten the data acquisition time, improve the coherence of collected data and effectively improve the 3D imaging accuracy. However, GEO SAR has curved trajectories and un-parallel repeated trajectories, which introduce the along-track component of the spatial baseline. The obtained GEO TomoSAR data based on the data acquisition method using in LEO TomoSAR have the significant rotation-induced decorrelation. Thus, the imaging performance in the elevation is severely degraded. In this paper, we first analyse the feasibility of GEO TomoSAR to achieve 3D imaging. In view of the special issues existing in GEO TomoSAR, we adopt an optimal minimal rotation-induced decorrelation data acquisition method to obtain repeated trajectories data, which can effectively improve the coherence between the collected data. Then, performance of imaging in elevation was analysed based on the spatial baseline distribution. Finally, the feasibility and validity of GEO TomoSAR techniques are validated through computer simulation.

Keywords

• data acquisition
• radar interferometry
• radar imaging
• remote sensing by radar
• geophysical image processing
• synthetic aperture radar
• geophysical techniques
• tomography
• multipass geosynchronous sar tomography
• geosynchronous sar tomography techniques
• multipass sar acquisitions
• fully 3d images
• low earth orbit sar case
• 3d imaging accuracy
• geo tomosar data
• leo tomosar
• imaging performance
• optimal minimal rotation-induced decorrelation data acquisition method
• geo tomosar techniques