9bfa2dd6db
* stackSentl.createParser(): align break line + align linebreak of help msg + use choices=[] for auto argument checking + use (default: %(default)s) to show defult value * stackSent: bugfix for new paris if ref date is close to recent This commit fixs the missing pair between the reference date and the new acquisitions, if the reference date is the most recent "num_conn" acquisition. * Stack: check existing orbit with glob instead of os.path.exist(dir) * topsStack: add --num-proc for topo step stackSentinel: add --num-proc to pass the number of parallel processes to topo.py, so that mp.Pool() can be independent of OMP_NUM_THREADS Co-authored-by: Zhang Yunjun <yunjunz@users.noreply.github.com> |
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| stripmapStack | ||
| topsStack | ||
| README.md | ||
README.md
Stack Processors
Read the document for each stack processor for details.
Installation
To use the TOPS or Stripmap stack processors you need to:
-
Install ISCE as usual
-
Depending on which stack processor you need to try, add the path of the folder containing the python scripts to your
$PATHenvironment variable as follows:- add the full path of your contrib/stack/topsStack to
$PATHto use the topsStack for processing a stack of Sentinel-1 TOPS data - add the full path of your contrib/stack/stripmapStack to
$PATHto use the stripmapStack for processing a stack of StripMap data
- add the full path of your contrib/stack/topsStack to
Note: The stack processors do not show up in the install directory of your isce software. They can be found in the isce source directory.
Important Note:
There might be conflicts between topsStack and stripmapStack scripts (due to comman names of different scripts). Therefore users MUST only have the path of one stack processor in their $PATH environment at a time, to avoid conflicts between the two stack processors.
References
Users who use the stack processors may refer to the following literatures:
For StripMap stack processor and ionospheric phase estimation:
- H. Fattahi, M. Simons, and P. Agram, "InSAR Time-Series Estimation of the Ionospheric Phase Delay: An Extension of the Split Range-Spectrum Technique", IEEE Trans. Geosci. Remote Sens., vol. 55, no. 10, 5984-5996, 2017. (https://ieeexplore.ieee.org/abstract/document/7987747/)
For TOPS stack processing:
- H. Fattahi, P. Agram, and M. Simons, “A network-based enhanced spectral diversity approach for TOPS time-series analysis,” IEEE Trans. Geosci. Remote Sens., vol. 55, no. 2, pp. 777–786, Feb. 2017. (https://ieeexplore.ieee.org/abstract/document/7637021/)