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Multi-scale approach to estimating variations in
topographically-correlated propagation delays |
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| The topographically-correlated phase (part
of propagation delays) can be mitigated by using this multi-scale
approach developed by Nina Lin, Mark Simons, Eric Hetland, Pablo
Muse and Chris DiCaprio. For details regrading the background
information, algorithm, error estimates and limitations, please
refer to our Multi-scale
tropostatic correction paper.
We now make this matlab package publicly available. You're
welcome to download and give it a try. A sample dataset is
included in the package. Although currently there is no any
user manual, there are some short notes in the driver file
(tropostatic_driver.m). All you need to do is to change the
parameters in the driver file, and run it in matlab.
Feel free to report any bug or missing scripts to Nina
Lin. However, code maintenance and response to code-related
questions are not always guaranteed.
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Download: tropostatic.rar
(107 MB)
Recommended platform: linux redhat 5 and above,
matlab 2009 and above
Notice: This package is ONLY
ROI_PAC compatible. If your files are not generated by ROI_PAC,
you will need to manually modify the codes so that they can
take in all necessary parameters. Or you can download roipac
at ROI_PAC
wiki.
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