Interferometric Processing of ScanSAR Data Using Stripmap Processor: New Insights from Coregistration

This is a Preprint and has not been peer reviewed. The published version of this Preprint is available: https://doi.org/10.1109/TGRS.2016.2539962. This is version 2 of this Preprint.

Add a Comment

You must log in to post a comment.


Comments

There are no comments or no comments have been made public for this article.

Downloads

Download Preprint

Authors

Cunren Liang, Eric Jameson Fielding 

Abstract

Processing scanning synthetic aperture radar (ScanSAR) data using a stripmap processor, which is called full-aperture processing, has been the choice of many researchers. ScanSAR data are known to require very high azimuth coregistration precision which is usually achieved by a geometrical coregistration followed by a spectral diversity coregistration on the ScanSAR burst. However, for full-aperture processing, since individual bursts are no longer available for spectral diversity coregistration, the cross-correlation method in practice is still used to coregister ScanSAR data as stripmap data. We analyze the azimuth coregistration precision requirement of full-aperture processing and find that its requirement can be significantly relaxed. This is confirmed by a number of experiments, including simulations and real data experiments whose results are in good agreement with each other. An additional experiment on the cross-correlation method supports its use in full-aperture processing. Concluding from the experimental results, we further propose a simple method to evaluate the azimuth coregistration precision requirement for practical use. Finally, we present examples with ALOS-2 ScanSAR data.

DOI

https://doi.org/10.31223/osf.io/7r4ag

Subjects

Aerospace Engineering, Civil and Environmental Engineering, Computer Engineering, Earth Sciences, Electrical and Computer Engineering, Engineering, Geology, Geophysics and Seismology, Glaciology, Hydrology, Mining Engineering, Other Earth Sciences, Physical Sciences and Mathematics, Tectonics and Structure, Volcanology

Keywords

remote sensing, Seismology, Geology, Geophysics, volcanology, civil engineering, hydrology, InSAR, Sentinel-1, earthquake, Glaciology, Tectonics, geomorphology, ALOS, ALOS-2, ALOS-4, deformation, geomatics, interferometry, NISAR, ScanSAR, Sentinel, Sentinel-1A, Sentinel-1B, synthetic aperture radar, SAR, full aperture, coregistration

Dates

Published: 2020-04-14 09:40

Older Versions
License

GNU Lesser General Public License (LGPL) 2.1