Annales Geophysicae
Annales Geophysicae
ANGEO
Articles | Volume 38, issue 1
Articles | Volume 38, issue 1
https://doi.org/10.5194/angeo-38-179-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/angeo-38-179-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 38, issue 1
Regular paper
 | 
06 Feb 2020
Regular paper |  | 06 Feb 2020

Observing geometry effects on a Global Navigation Satellite System (GNSS)-based water vapor tomography solved by least squares and by compressive sensing

Marion Heublein, Patrick Erik Bradley, and Stefan Hinz

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Cited articles

Aguilera, E., Nannini, M., and Reigber, A.: A data-adaptive compressed sensing approach to polarimetric SAR tomography of forested areas, IEEE Geosci. Remote Sens. Lett., 10, 543–547, 2013. a
Alonso, M. T., López-Dekker, P., and Mallorquí, J. J.: A novel strategy for radar imaging based on compressive sensing, IEEE T. Geosci. Remote Sens., 48, 4285–4295, 2010. a
Baraniuk, R.: Compressive sensing, IEEE Signal Proc. Mag., 24, 118–120, 2007. a
Bender, M. and Raabe, A.: Preconditions to ground based GPS water vapour tomography, Ann. Geophys., 25, 1727–1734, https://doi.org/10.5194/angeo-25-1727-2007, 2007. a
Bender, M., Dick, G., Wickert, J., Ramatschi, M., Ge, M., Gendt, G., Rothacher, M., Raabe, A., and Tetzlaff, G.: Estimates of the information provided by GPS slant data observed in Germany regarding tomographic applications, J. Geophys. Res.-Atmos., 114, D06303, https://doi.org/10.1029/2008JD011008, 2009. a
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