08dfd9de21
+ topo: merge runMultilookGdal() into runMultilook() with new argument "method" to control to use isce Looks module (averaging) or gdal_translate (extraction; default, same as before). + topo: call gdal2isce_xml.py so that xml file for multilooked data are always generate. This fix the warning message from gdal_translate: "Warning 1: Geotransform matrix has non rotational terms" + topo: skip multilooking if the data file has vrt/xml file missing, which sometimes happens to incLocal and shadowMask (don't know the cause yet; I used GPU version). + crossmul/resampleSlc: re-organize module import at the top of scripts |
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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/)